CoursIA Notebook Catalog
Total notebooks: 1366
Status Summary
- BROKEN: 2
- DEMO: 205
- READY: 1159
- TOTAL: 1366
Maturity Summary
- ALPHA: 71
- BETA: 1201
- DRAFT: 90
- TEMPLATE: 4
- TOTAL: 1366
Series / Sub-series Totals
| Series | Sub-series | Notebooks |
|---|---|---|
| GenAI | 00-GenAI-Environment | 6 |
| GenAI | Audio | 38 |
| GenAI | CaseStudies | 5 |
| GenAI | FallacyDetection | 5 |
| GenAI | FineTuning | 14 |
| GenAI | Image | 22 |
| GenAI | Integrations-DotNet | 15 |
| GenAI | Plateformes-Conversationnelles | 28 |
| GenAI | PostTraining | 21 |
| GenAI | RAG-et-Memoire-Semantique | 10 |
| GenAI | Security | 6 |
| GenAI | SemanticKernel | 23 |
| GenAI | Texte | 41 |
| GenAI | Vibe-Coding | 8 |
| GenAI | Video | 22 |
| Search | Applications | 59 |
| Search | Discrepancy | 2 |
| Search | Part1-Foundations | 43 |
| Search | Part2-CSP | 18 |
| Search | Part4-Metaheuristics | 35 |
| ML | DataScienceWithAgents | 107 |
| ML | ML.Net | 23 |
| SymbolicAI | Racine | 1 |
| SymbolicAI | Argument_Analysis | 32 |
| SymbolicAI | Lean | 89 |
| SymbolicAI | Planners | 25 |
| SymbolicAI | SemanticWeb | 28 |
| SymbolicAI | SmartContracts | 31 |
| SymbolicAI | SMT | 47 |
| SymbolicAI | SymbolicLearning | 27 |
| SymbolicAI | Tweety | 39 |
| QuantConnect | kelly_lean | 2 |
| QuantConnect | ML-Training-Pipeline | 4 |
| QuantConnect | projects | 49 |
| QuantConnect | Python | 61 |
| GameTheory | Racine | 99 |
| GameTheory | SocialChoice | 10 |
| Sudoku | Racine | 38 |
| Probas | Applications | 4 |
| Probas | DecisionTheory | 32 |
| Probas | Infer | 21 |
| Probas | PyMC | 20 |
| IIT | Racine | 6 |
| IIT | ICT-Series | 88 |
| RL | Racine | 26 |
| RL | PostTraining | 11 |
| CaseStudies | Diagnostic-Medical | 2 |
| CaseStudies | Oncology-Planning | 2 |
| CaseStudies | SmartGrid-Energy | 2 |
| Complexity | Racine | 11 |
| Compression | Racine | 1 |
| NLP | Racine | 5 |
| cross-series | socle-metadata-driven | 2 |
| TOTAL | 1366 |
By Series
GenAI (264 notebooks) — BROKEN:2, DEMO:125, READY:137 | ALPHA:23, BETA:221, DRAFT:17, TEMPLATE:3
00-GenAI-Environment (6)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | 00-1-Environment-Setup.ipynb | GenAI Environment Setup - CoursIA | Python 3 | DEMO | BETA | 30min | po-2025 |
| 2 | 00-2-Docker-Services-Management.ipynb | Docker Services Management - GenAI | Python 3 | DEMO | BETA | 30min | po-2025 |
| 3 | 00-3-API-Endpoints-Configuration.ipynb | Configuration des API Endpoints | Python 3 | DEMO | BETA | 30min | po-2025 |
| 4 | 00-4-Environment-Validation.ipynb | Environment Validation - GenAI | Python 3 | DEMO | BETA | 30min | po-2025 |
| 5 | 00-5-ComfyUI-Local-Test.ipynb | 00-5: ComfyUI Local - Test Rapide | Python 3 | READY | BETA | 30min | po-2025 |
| 6 | 00-6-Local-Docker-Deployment.ipynb | Deploiement Docker Local des Services GenAI | Python 3 | DEMO | BETA | 45min | po-2025 |
Audio (38)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | 01-1-OpenAI-TTS-Intro.ipynb | OpenAI TTS - Synthese Vocale par API | Python 3 | DEMO | BETA | 45min | po-2025 |
| 2 | 01-2-OpenAI-Whisper-STT.ipynb | OpenAI Whisper STT - Reconnaissance Vocale par API | .venv (3.12.14) | DEMO | BETA | 45min | po-2025 |
| 3 | 01-3-Basic-Audio-Operations.ipynb | Opérations de Base sur l’Audio | Python 3 | DEMO | BETA | 45min | po-2025 |
| 4 | 01-4-Whisper-Local.ipynb | Whisper Local - Transcription GPU avec… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 5 | 01-5-Kokoro-TTS-Local.ipynb | Kokoro TTS Local - Synthese Vocale Legere | Python 3 | DEMO | BETA | 45min | po-2025 |
| 6 | 02-1-Chatterbox-TTS.ipynb | Chatterbox TTS - Synthese Vocale Expressive | Python 3 | DEMO | BETA | 45min | po-2025 |
| 7 | 02-2-XTTS-Voice-Cloning.ipynb | XTTS v2 - Clonage Vocal Zero-Shot | Python 3 | DEMO | BETA | 45min | po-2025 |
| 8 | 02-3-MusicGen-Generation.ipynb | MusicGen - Generation Musicale par IA | Python 3 | DEMO | BETA | 45min | po-2025 |
| 9 | 02-4-Demucs-Source-Separation.ipynb | Demucs v4 - Separation de Sources Audio | Python 3 | DEMO | BETA | 45min | po-2025 |
| 10 | 02-5-Multi-Model-TTS-Gateway.ipynb | Multi-Model TTS Gateway - Synthese Vocale… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 11 | 02-6-MIDI-Generation.ipynb | Generation MIDI avec midi-model (SkyTNT) | Python 3 | DEMO | BETA | 45min | po-2025 |
| 12 | 02-7-YuE2-Song-Generation.ipynb | Generation de Chansons Completes : YuE2 | Python 3 | DEMO | BETA | 45min | po-2025 |
| 13 | 02-8-Expressive-TTS.ipynb | TTS Expressif : Fish S2 Pro et Modèles SOTA | Python (dia-tts) | DEMO | BETA | 45min | po-2025 |
| 14 | 02-9-AceStep-Music-Generation.ipynb | Ace-Step v1.5 - Generation Musicale avec Paroles | Python 3 | DEMO | BETA | 45min | po-2025 |
| 15 | 03-1-Multi-Model-Audio-Comparison.ipynb | Comparaison Multi-Modèles Audio | Python 3 | DEMO | BETA | 45min | po-2025 |
| 16 | 03-2-Audio-Pipeline-Orchestration.ipynb | Orchestration de Pipelines Audio | Python 3 | DEMO | BETA | 45min | po-2025 |
| 17 | 03-3-Realtime-Voice-API.ipynb | OpenAI Realtime Voice API | Python 3 | DEMO | BETA | 45min | po-2025 |
| 18 | 04-1-Educational-Audio-Content.ipynb | Creation de Contenu Audio Educatif | Python 3 | DEMO | BETA | 45min | po-2025 |
| 19 | 04-10-Annotation-Prosodique.ipynb | P3 - Annotation Prosodique pour TTS Agentique | Python 3 | READY | BETA | 45min | po-2025 |
| 20 | 04-11-Generation-TTS.ipynb | P4 — Generation TTS pour Audiobook | Python 3 | READY | BETA | 45min | po-2025 |
| 21 | 04-12-Compilation-Audio.ipynb | P5 — Compilation Audio pour Audiobook | Python 3 | READY | BETA | 30min | po-2025 |
| 22 | 04-13-Audiobook-FishAudio-S2Pro.ipynb | Audiobook Agentique avec FishAudio S2-Pro | Python 3 | DEMO | BETA | 30min | po-2025 |
| 23 | 04-14-VoiceLeading-Rendu-GenAI.ipynb | Voice Leading Rendu GenAI — donner un spectre aux… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 24 | 04-15-MERT2-Music-Understanding.ipynb | Comprehension Musicale avec MERT2 : Embeddings et… | Python 3 (mert2-gpu) | DEMO | BETA | 45min | po-2025 |
| 25 | 04-16-SheetSage2-Audio-To-Score.ipynb | De l’Audio a la Partition : SheetSage2 | Python (sheetsage2-gpu) | DEMO | BETA | 45min | po-2025 |
| 26 | 04-2-Transcription-Pipeline.ipynb | Pipeline de Transcription et Sous-titrage | Python 3 | DEMO | BETA | 45min | po-2025 |
| 27 | 04-3-Music-Composition-Workflow.ipynb | Workflow de Composition Musicale | Python 3 | DEMO | BETA | 45min | po-2025 |
| 28 | 04-4-Audio-Video-Sync.ipynb | Synchronisation Audio-Video (Passerelle) | Python 3 | DEMO | BETA | 30min | po-2025 |
| 29 | 04-5-LiveCoding-LLM-Music.ipynb | Live Coding Musical pilote par LLM | Python 3 | DEMO | BETA | 45min | po-2025 |
| 30 | 04-6-Audiobook-Pipeline.ipynb | Pipeline Audiobook Agentique | Python 3 | DEMO | BETA | 30min | po-2025 |
| 31 | 04-7-TTS-Voice-Benchmark.ipynb | Benchmark TTS : Comparaison des Modèles Vocaux… | Python 3 | READY | BETA | 1h | po-2025 |
| 32 | 04-8-Lecture-Analytique.ipynb | Lecture Analytique pour Audiobook | Python 3 | READY | BETA | 30min | po-2025 |
| 33 | 04-9-Voice-Casting.ipynb | Voice Casting : Attribution de voix TTS par… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 34 | 05-1-AudioDiffusion-Latent-From-Scratch.ipynb | 05-1 — Diffusion latente audio depuis zéro | coursia-ml-training | DEMO | BETA | 1h | po-2025 |
| 35 | 05-2-Vocoder-From-Scratch.ipynb | Vocodeur neuronal from scratch : un mini HiFi-GAN | Python 3 | READY | BETA | 1h | po-2025 |
| 36 | 06-1-AudioLDM-SOTA-Comparison.ipynb | 06-1 — AudioLDM côté industrie : le SOTA en… | Python 3 (PyTorch) | DEMO | DRAFT | 45min | po-2025 |
| 37 | 06-2-HiFiGAN-SOTA-Comparison.ipynb | Le vocodeur pré-entraîné : le geste industriel | Python 3 | READY | BETA | 45min | po-2025 |
| 38 | 06-3-AudioDiffusion-Comparison-A-vs-B.ipynb | Comparaison Bloc A (from scratch) vs Bloc B (SOTA)… | Python 3 | READY | ALPHA | 15min | po-2025 |
CaseStudies (5)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | barbie-schreck.ipynb | Duel Verbal : Barbie vs l’Âne de Shrek | Python 3 | DEMO | BETA | 30min | po-2025 |
| 2 | fort-boyard-python.ipynb | Vue d’ensemble : un duel d’agents Père Fouras vs… | Python 3 | DEMO | ALPHA | 30min | po-2025 |
| 3 | medical_chatbot.ipynb | Docteur vs ChatGPT : Chatbot medical multi-agent | Python 3 | DEMO | BETA | 45min | po-2025 |
| 4 | medical_chatbot_en.ipynb | Doctor vs ChatGPT: Multi-Agent Medical Chatbot | Python 3 | DEMO | ALPHA | 45min | po-2025 |
| 5 | receipe_maker.ipynb | Générateur de Recettes PDF | Python 3 | DEMO | BETA | 30min | po-2025 |
FallacyDetection (5)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | 01_taxonomy_intro.ipynb | 01 — Introduction : taxonomies de sophismes et… | Python 3 | READY | BETA | 15min | po-2025 |
| 2 | 02_fallacy_datasets_landscape.ipynb | 02 — Paysage des datasets de detection de… | Python 3 | DEMO | BETA | 30min | po-2025 |
| 3 | 03_taxonomy_coverage_gap.ipynb | 03 — Écart de couverture taxonomique : académique… | Python 3 | READY | BETA | 15min | po-2025 |
| 4 | 04_coverage_matrix.ipynb | 04 — Matrice de couverture cross-notebooks | Python 3 | READY | BETA | 15min | po-2025 |
| 5 | 05_dataset_builder.ipynb | 05 — Constructeur du dataset de Phase 2 : produit… | Python 3 | READY | BETA | 30min | po-2025 |
FineTuning (14)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | FT-00a-LoRA-from-scratch-Python.ipynb | FT-00a : LoRA from scratch — démonter l’adaptation… | Python 3 | READY | BETA | 45min | po-2025 |
| 2 | FT-00b-LoRA-Hyperparams-from-scratch-Python.ipynb | FT-00b : LoRA hyperparams from scratch — ablation… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 3 | FT-00c-LoRA-SOTA-Comparison-Python.ipynb | FT-00c : LoRA SOTA — la même adaptation, cette… | Python 3 | READY | BETA | 45min | po-2025 |
| 4 | FT-00d-LoRA-QLoRA-SOTA-Comparison-Python.ipynb | FT-00d : LoRA + QLoRA SOTA Comparison | Python 3 | DEMO | BETA | 30min | po-2025 |
| 5 | FT-01-Introduction-FineTuning-Python.ipynb | FT-01 : Introduction au Fine-Tuning | Python 3 | READY | BETA | 45min | po-2025 |
| 6 | FT-01-Introduction-FineTuning-Python_en.ipynb | FT-01: Introduction to Fine-Tuning | Python 3 | READY | BETA | 45min | po-2025 |
| 7 | FT-02-QLoRA-Quantization-Python.ipynb | FT-02 : QLoRA — Fine-Tuning avec Quantization | Python 3 | READY | BETA | 1h | po-2025 |
| 8 | FT-02-QLoRA-Quantization-Python_en.ipynb | FT-02: QLoRA — Fine-Tuning with Quantization | Python 3 | READY | BETA | 1h | po-2025 |
| 9 | FT-03-Supervised-FineTuning-SFT-Python.ipynb | FT-03 : Supervised Fine-Tuning (SFT) — Enseigner… | Python 3 | READY | BETA | 45min | po-2025 |
| 10 | FT-03-Supervised-FineTuning-SFT-Python_en.ipynb | FT-03: Supervised Fine-Tuning (SFT) — Teaching a… | Python 3 | READY | BETA | 45min | po-2025 |
| 11 | FT-04-RLHF-DPO-Python.ipynb | FT-04 : RLHF et Alignement — Préférences Humaines… | Python 3 | READY | BETA | 45min | po-2025 |
| 12 | FT-05-ModelMerging-Routing-Python.ipynb | FT-05 : Fusion et Routage de Modèles – Combiner… | Python 3 | READY | BETA | 45min | po-2025 |
| 13 | FT-05-ModelMerging-Routing-Python_en.ipynb | FT-05: Model Merging and Routing – Combining… | Python 3 | READY | BETA | 45min | po-2025 |
| 14 | FT-06-Vision-Language-LoRA-Python.ipynb | FT-06 : LoRA vision-langage — fine-tune du… | Python 3 | DEMO | BETA | 45min | po-2025 |
Image (22)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | 01-1-OpenAI-DALL-E-3.ipynb | OpenAI DALL-E 3 - Generation d’Images | Python 3 | DEMO | BETA | 45min | po-2025 |
| 2 | 01-2-GPT-5-Image-Generation.ipynb | GPT-5 Multimodal - Analyse et Génération d’Images | Python 3 | DEMO | BETA | 30min | po-2025 |
| 3 | 01-3-Basic-Image-Operations.ipynb | Opérations de Base sur les Images | Python 3 | DEMO | BETA | 45min | po-2025 |
| 4 | 01-4-Forge-SD-XL-Turbo.ipynb | Stable Diffusion Forge - SD XL Turbo | Python 3 | DEMO | BETA | 30min | po-2025 |
| 5 | 01-5-Qwen-Image-Edit.ipynb | Qwen Image-Edit 2.5 - API ComfyUI | Python 3 | DEMO | BETA | 45min | po-2025 |
| 6 | 01-5b-Qwen-Image-Edit-2509.ipynb | Qwen Image Edit 2509 - Édition Avancée d’Images | Python 3 | DEMO | BETA | 45min | po-2025 |
| 7 | 02-2-FLUX-1-Advanced-Generation.ipynb | FLUX.1 - Génération d’Images Avancée | Python 3 | DEMO | BETA | 45min | po-2025 |
| 8 | 02-3-Stable-Diffusion-3-5.ipynb | Stable Diffusion 3.5 - Génération de Pointe | Python 3 | DEMO | BETA | 45min | po-2025 |
| 9 | 02-4-Z-Image-Lumina2.ipynb | Z-Image (Lumina-2) : Generation Avancee avec… | Python 3 | DEMO | BETA | 30min | po-2025 |
| 10 | 02-5-Bonsai-Image-Ternary.ipynb | Bonsai-Image : Generation Text-to-Image avec… | Python 3 | READY | BETA | 30min | po-2025 |
| 11 | 03-1-Multi-Model-Comparison.ipynb | Comparaison Multi-Modèles : SDXL Lightning-4step,… | Python 3 | DEMO | BETA | 30min | po-2025 |
| 12 | 03-2-Workflow-Orchestration.ipynb | Workflow Orchestration - Chaînage Multi-Modèles | Python 3 | DEMO | BETA | 45min | po-2025 |
| 13 | 03-3-Performance-Optimization.ipynb | Performance Optimization pour la Génération… | Python 3 | DEMO | BETA | 1h | po-2025 |
| 14 | 03-4-VLM-Character-Design-Workflow.ipynb | Pipeline VLM in-graph : character design depuis… | Python 3 | READY | BETA | 45min | po-2025 |
| 15 | 04-1-Educational-Content-Generation.ipynb | Educational Content Generation - GenAI | Python 3 | DEMO | BETA | 30min | po-2025 |
| 16 | 04-2-Creative-Workflows.ipynb | Creative Workflows - GenAI | Python 3 | DEMO | BETA | 30min | po-2025 |
| 17 | 04-3-Production-Integration.ipynb | Production Integration - GenAI | Python 3 | DEMO | BETA | 45min | po-2025 |
| 18 | 04-4-Cross-Stitch-Pattern-Maker-Legacy.ipynb | Génération d’un patron de point de croix à partir… | Python 3 | DEMO | ALPHA | 30min | po-2025 |
| 19 | 04-5-MiniMax-Cloud-Image.ipynb | MiniMax H3 (Hailuo) — Génération d’images par le… | Python 3 | DEMO | BETA | 30min | po-2025 |
| 20 | 05-0-Generateurs-Symboliques.ipynb | 05-0 — Générateurs symboliques : l’art… | Python 3 | READY | BETA | 30min | po-2025 |
| 21 | 05-1-DiscoDiffusion-CLIP-Guided-Diffusion.ipynb | 05-1 — DiscoDiffusion : la CLIP-guided diffusion… | Python 3 | READY | BETA | 45min | po-2025 |
| 22 | 05-2-CLIPasso-Semantic-Sketching.ipynb | 05-2 — CLIPasso : le sketching sémantique par CLIP… | Python 3 | READY | BETA | 45min | po-2025 |
Integrations-DotNet (15)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | 01-Aspire-Orchestration-GenAi.ipynb | Aspire : orchestrer notre pile GenAI en C# | .NET (C#) | READY | BETA | 45min | po-2025 |
| 2 | 02-Aspire-GenAiStack-Reel.ipynb | Aspire : orchestrer la pile GenAI réelle du… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 3 | 03-Aspire-Observabilite.ipynb | Aspire 3 : Observabilite .NET moderne — Serilog,… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 4 | 04-Aspire-Streaming-Agent.ipynb | Aspire : un agent streaming en C# — Channels,… | .NET (C#) | DEMO | BETA | 45min | po-2025 |
| 5 | 05-Aspire-Tests-Integration.ipynb | Aspire : des tests d’intégration modernes —… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 6 | 06-Aspire-GardeFous-Roslyn.ipynb | Aspire : garde-fous du code d’agent — l’analyseur… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 7 | 07-Aspire-SemanticFleet-MultiConnector.ipynb | Aspire : le routeur MultiConnector — vetting en… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 8 | 08-Aspire-AsyncFFI-Dotnet.ipynb | Aspire : l’asynchrone aux frontieres natives -… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 9 | 09-Aspire-Harness-CopilotSdk.ipynb | Aspire : le harness Copilot SDK — CopilotClient,… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 10 | 01-GitHub-Copilot-SDK-Binding.ipynb | GitHub Copilot SDK en C# : binding, streaming,… | .NET (C#) | READY | ALPHA | 30min | po-2025 |
| 11 | 01-EFCore-Requetes-Compilees.ipynb | EF Core : des requêtes vérifiées à la compilation | .NET (C#) | READY | BETA | 30min | po-2025 |
| 12 | 01-Orleans-Grains-Agents.ipynb | Orleans : des acteurs stateful pour les workloads… | .NET (C#) | READY | DRAFT | 30min | po-2025 |
| 13 | 02-Orleans-Aspire-CoHost.ipynb | Orleans × Aspire : le silo orchestré, les… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 14 | 03-Orleans-Persistance-Redis.ipynb | Orleans : l’état des grains dans un Redis réel | .NET (C#) | READY | DRAFT | 45min | po-2025 |
| 15 | 04-Orleans-Aspire-Cluster-Redis.ipynb | Orleans × Aspire : un cluster de deux silos,… | .NET (C#) | DEMO | BETA | 45min | po-2025 |
Plateformes-Conversationnelles (28)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | configurer-chatbots-par-l-api.ipynb | Configurer et interroger des chatbots — le chatbot… | Python 3 | READY | DRAFT | 15min | po-2025 |
| 2 | donner-une-memoire-ephemere-au-chatbot-par-l-api.ipynb | Les fichiers du chatbot — une memoire ephemere par… | Python 3 | DEMO | DRAFT | 30min | po-2025 |
| 3 | interroger-lassistant-de-lediteur-par-l-api.ipynb | L’assistant de l’editeur — la quatrieme face du… | Python 3 | DEMO | BETA | 30min | po-2025 |
| 4 | joindre-un-fichier-au-chatbot-par-l-api.ipynb | Joindre un fichier au chatbot — ignore, annote, ou… | Python 3 (coursia-sae) | DEMO | BETA | 30min | po-2025 |
| 5 | mesurer-la-derive-dun-copilot.ipynb | Mesurer la dérive d’un copilot — le gate par étape… | Python 3 | READY | BETA | 30min | po-2025 |
| 6 | obtenir-des-donnees-structurees-par-l-api.ipynb | Obtenir des données structurées — la case json, le… | Python 3 | READY | BETA | 30min | po-2025 |
| 7 | parler-au-chatbot-en-visiteur-par-l-api.ipynb | Parler au chatbot en visiteur — la face navigateur… | Python 3 | READY | DRAFT | 30min | po-2025 |
| 8 | administrer-les-formulaires-par-l-api.ipynb | Administrer les formulaires par l’API — le… | Python 3 | READY | DRAFT | 30min | po-2025 |
| 9 | auditer-un-formulaire-conditionnel.ipynb | Auditer un formulaire conditionnel — l’état que… | Python 3 | READY | DRAFT | 30min | po-2025 |
| 10 | ingestion-corpus-long-rag.ipynb | Ingestion RAG d’un corpus long structure | Python 3 | READY | BETA | 30min | po-2025 |
| 11 | separer-les-environnements-de-vecteurs.ipynb | Séparer les environnements de vecteurs | Python 3 | READY | BETA | 30min | po-2025 |
| 12 | auditer-un-serveur-mcp.ipynb | Auditer un serveur MCP qu’on n’a pas ecrit | Python 3 | DEMO | BETA | 30min | po-2025 |
| 13 | autour-du-consent-oauth-du-serveur-mcp.ipynb | Le serveur MCP et son autorisation — OAuth de bout… | Python 3 | DEMO | DRAFT | 45min | po-2025 |
| 14 | consommer-vs-exposer-le-mcp.ipynb | Consommer vs exposer le MCP — les deux sens du fil | Python 3 | READY | BETA | 30min | po-2025 |
| 15 | piloter-wordpress-par-mcp.ipynb | Piloter WordPress par MCP — le serveur, pas l’API… | Python 3 | READY | DRAFT | 30min | po-2025 |
| 16 | brancher-plusieurs-providers-par-l-api.ipynb | Brancher plusieurs providers — environnements et… | Python 3 | DEMO | DRAFT | 30min | po-2025 |
| 17 | eval-choisir-son-modele.ipynb | Choisir le modèle derrière son chatbot — une… | Python 3 (ipykernel) | DEMO | BETA | 30min | po-2025 |
| 18 | presenter-ai-engine-par-son-api.ipynb | Presenter AI Engine par son API — instance jetable… | Python 3 | DEMO | BETA | 30min | po-2025 |
| 19 | 00-Parcours-QA-AI-Engine.ipynb | Parcours QA — ce que l’API ne voit pas | Python 3 | DEMO | ALPHA | 30min | po-2025 |
| 20 | auditer-la-conformite-visuelle.ipynb | Auditer la conformite visuelle — ce que le smoke… | Python 3 | READY | ALPHA | 30min | po-2025 |
| 21 | 00-Parcours-QA-OWUI.ipynb | Parcours QA-OWUI — Notebook chapeau de la mission | Python 3 | READY | ALPHA | 15min | po-2025 |
| 22 | 01-Decouverte-QA-OWUI.ipynb | Module 01 — Découverte de Playwright & Open WebUI | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 23 | 02-Navigation-Auth-QA-OWUI.ipynb | Module 02 — Navigation & Authentification | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 24 | 03-Chat-Streaming-QA-OWUI.ipynb | Module 03 — Chat & Streaming LLM | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 25 | 04-RAG-Tools-QA-OWUI.ipynb | Module 04 — RAG, Outils MCP & Fonctionnalités… | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 26 | 05-Multi-Tenant-CI-QA-OWUI.ipynb | Module 05 — Multi-tenant, API Testing & CI/CD | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 27 | 06-Nouveautes-v0.10-QA-OWUI.ipynb | Module 06 — Tester les nouveautés v0.10 (« l’ère… | Python 3 | READY | BETA | 30min | po-2025 |
| 28 | differencier-les-assistants.ipynb | Différencier plusieurs assistants — mesurer ce… | Python 3 | DEMO | BETA | 30min | po-2025 |
PostTraining (21)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | PT_01_intro_post_training.ipynb | PT-01 — Introduction et vue d’ensemble | Python 3 | DEMO | BETA | 30min | po-2025 |
| 2 | PT_02_sft_baseline.ipynb | PT-02 — Supervised Fine-Tuning baseline (SFT) | coursia-ml-training | DEMO | BETA | 45min | po-2025 |
| 3 | PT_03_dpo_direct_preference.ipynb | PT-03 — Direct Préférence Optimization (DPO) | Python 3 | READY | ALPHA | 45min | po-2025 |
| 4 | PT_04_grpo_deepseek_r1.ipynb | PT-04 — Group Relative Policy Optimization (GRPO) | coursia-ml-training | DEMO | ALPHA | 45min | po-2025 |
| 5 | PT_05_rlvr_verifiable_rewards.ipynb | PT-05 — Reinforcement Learning with Verifiable… | coursia-ml-training | READY | BETA | 45min | po-2025 |
| 6 | PT_06_eval_comparative.ipynb | PT-06 — Evaluation Comparative du Post-Training | coursia-ml-training | READY | BETA | 30min | po-2025 |
| 7 | PT_07_rewardspy_reward_hacking.ipynb | PT-07 — Détecter le reward hacking avec rewardspy | Python 3 | READY | BETA | 15min | po-2025 |
| 8 | PT_08_grpo_from_scratch_toy_env.ipynb | PT-08 — GRPO from scratch : la mécanique du signal… | Python 3 (coursia-ml-training) | READY | BETA | 45min | po-2025 |
| 9 | PT_09_rloo_from_scratch_toy_env.ipynb | PT-09 — RLOO (REINFORCE Leave-One-Out) from… | coursia-ml-training | READY | BETA | 30min | po-2025 |
| 10 | PT_10_gae_from_scratch_toy_env.ipynb | PT-10 — GAE from scratch : pourquoi un mini-critic… | Python 3 (ipykernel) | READY | BETA | 45min | po-2025 |
| 11 | PT_11a_grpo_qwen35_rlvr.ipynb | PT-11a — GRPO + RLVR sur Qwen3.5-0.8B : la série… | Python 3 (coursia-ml-training) | READY | BETA | 45min | po-2025 |
| 12 | PT_11b_grpo_qwen_rlvr_on_verifiers.ipynb | PT-11b — RLVR sur VRAI LLM (Qwen3.5-0.8B) +… | Python (coursia-ml-training) | READY | BETA | 45min | po-2025 |
| 13 | PT_11c_grpo_qwen17_rlvr.ipynb | PT-11c — RLVR sur Qwen3-1.7B/2B (cran au-dessus de… | Python 3 | READY | ALPHA | 45min | po-2025 |
| 14 | PT_11d_multiseed_qwen35_4x100.ipynb | PT-11d — RLVR multi-seed sur Qwen3.5-0.8B | Python (coursia-ml-training) | READY | ALPHA | 45min | po-2025 |
| 15 | PT_12_multistep_delayed_credit.ipynb | PT-12 — Crédit différé multi-step : GAE-λ sur un… | Coursia ML Training | READY | ALPHA | 45min | po-2025 |
| 16 | PT_13_dapo_drgrpo_corrections.ipynb | PT-13 — Les trois biais du loss GRPO et leurs… | Coursia ML Training | READY | ALPHA | 45min | po-2025 |
| 17 | PT_14_neural_thermodynamic_laws.ipynb | PT-14 — Lois thermodynamiques de l’entraînement :… | Coursia ML Training | READY | BETA | 30min | po-2025 |
| 18 | PT_15_controle_interpretabilite.ipynb | PT-15 — Contrôle par interprétabilité : refusal… | Python 3 | READY | BETA | 45min | po-2025 |
| 19 | PT_16_vericoding_formal_verification.ipynb | PT-16 — Vericoding : la preuve formelle comme… | Python 3 | READY | BETA | 30min | po-2025 |
| 20 | PT_17_laya_proper_rewards_toy.ipynb | PT-17 — laya : la règle de score propre comme… | Python 3 (coursia-ml-training) | READY | BETA | 45min | po-2025 |
| 21 | PT_18_laya_ablation_distillation.ipynb | PT-18 — laya étage 2 : l’ablation à trois bras —… | Python 3 (venv) | READY | DRAFT | 15min | po-2025 |
RAG-et-Memoire-Semantique (10)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | 01-Hands-On-Grounding.ipynb | Hands-On Grounding — Qdrant en mémoire | Python 3 | READY | BETA | 30min | po-2025 |
| 2 | 02-Retrieval-Avance.ipynb | 02 — Retrieval avancé : HyDE, reranking et… | Python 3 | READY | BETA | 45min | po-2025 |
| 3 | 03-Embeddings-From-Scratch.ipynb | Embeddings from scratch — word2vec skip-gram, la… | Python 3 | READY | BETA | 30min | po-2025 |
| 4 | 04-Tokenisation-From-Scratch.ipynb | Tokenisation from scratch — l’unité de compte de… | Python (coursia-ml-training) | READY | ALPHA | 30min | po-2025 |
| 5 | 05-Stockage-Vectoriel.ipynb | Stockage vectoriel réel — persistance, index ANN… | Python (coursia-ml-training) | READY | BETA | 45min | po-2025 |
| 6 | 05b-Stockage-Vectoriel-Serveur.ipynb | RAG 05b — Mode serveur Qdrant : compromis… | Python 3 | READY | BETA | 30min | po-2025 |
| 7 | 06-KernelMemory-InProcess.ipynb | 06 — Kernel Memory in-process : la couche… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 8 | 07-KernelMemory-Python-Quickstart.ipynb | RAG 07 — Kernel Memory Python : ingestion,… | Python 3 (ipykernel) | READY | BETA | 45min | po-2025 |
| 9 | 08-KernelMemory-Hybrid-Search.ipynb | RAG 08 — Kernel Memory et la recherche hybride :… | Python 3 | READY | BETA | 45min | po-2025 |
| 10 | 09-KernelMemory-Multimodal.ipynb | RAG 09 — Au-delà du texte : le plafond multimodal… | Python 3 | READY | BETA | 45min | po-2025 |
Security (6)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Control-Refusal-Direction.ipynb | Controle par interpretabilite — direction du… | Python 3 | READY | BETA | 45min | po-2025 |
| 2 | Oversight-Scaling-Laws-Analytics.ipynb | Oversight-Scaling-Laws-Analytics | Python 3 | READY | BETA | 30min | po-2025 |
| 3 | Oversight-Scaling-Laws-Nim.ipynb | Oversight — Scaling Laws sur le jeu de Nim (R12,… | Python 3 | READY | BETA | 30min | po-2025 |
| 4 | Oversight-Scaling-Laws-Statistics.ipynb | Oversight-Scaling-Laws-Statistics | Python 3 | READY | BETA | 30min | po-2025 |
| 5 | Oversight-Scaling-Laws-Wargames.ipynb | Oversight-Scaling-Laws-Wargames | Python 3 | READY | BETA | 30min | po-2025 |
| 6 | Tooling-MCP-Attack-Surface.ipynb | Surface d’attaque des outils MCP — le piège de la… | Python 3 | READY | BETA | 30min | po-2025 |
SemanticKernel (23)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | 01-SemanticKernel-Intro.ipynb | SK-1-Fundamentals : Introduction a Semantic Kernel | Python 3 | READY | BETA | 30min | po-2025 |
| 2 | 02-SemanticKernel-Advanced.ipynb | SK-2-Functions : Function Calling, Memory et… | Python 3 | READY | BETA | 30min | po-2025 |
| 3 | 03-SemanticKernel-Agents.ipynb | SK-3-Agents : Agent Framework Semantic Kernel | Python 3 | READY | BETA | 15min | po-2025 |
| 4 | 04-SemanticKernel-Filters-Observability.ipynb | SK-4-Filters : Filtres et Observabilite | Python 3 | READY | BETA | 30min | po-2025 |
| 5 | 05-SemanticKernel-VectorStores.ipynb | SK-5-VectorStores : RAG avec Qdrant | Python 3 | DEMO | BETA | 30min | po-2025 |
| 6 | 06-SemanticKernel-ProcessFramework.ipynb | SK-6-ProcessFramework : Workflows et Orchestration | Python 3 | READY | BETA | 30min | po-2025 |
| 7 | 07-SemanticKernel-MultiModal.ipynb | SK-7-MultiModal : Images, Audio et Vision | Python 3 | READY | BETA | 30min | po-2025 |
| 8 | 08-SemanticKernel-MCP.ipynb | SK-8-MCP : Model Context Protocol et Integration | Python 3 | READY | BETA | 30min | po-2025 |
| 9 | 09-SemanticKernel-Building-CLR.ipynb | SK-9-Building-CLR : Interoperabilite Python/.NET… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 10 | 10-SemanticKernel-NotebookMaker.ipynb | SK-10-NotebookMaker : Système Multi-Agents pour… | Python 3 | DEMO | BETA | 30min | po-2025 |
| 11 | 10a-SemanticKernel-NotebookMaker-batch.ipynb | Conception Automatique de Notebook par Agents IA | Python 3 | DEMO | DRAFT | 45min | po-2025 |
| 12 | 10b-SemanticKernel-NotebookMaker-batch-parameterized.ipynb | Conception Automatique de Notebook par Agents IA | Python 3 | DEMO | BETA | 45min | po-2025 |
| 13 | 11-SemanticKernel-A2A.ipynb | SK-11-A2A : le protocole Agent2Agent à côté de MCP | Python 3 | READY | BETA | 30min | po-2025 |
| 14 | Créateur de mail personnalisé.ipynb | Projet Createur de Mail personnalise | Python 3 | DEMO | BETA | 45min | po-2025 |
| 15 | Notebook-Generated.ipynb | Notebook de travail — Titanic: exploration,… | Python 3 | READY | BETA | 15min | po-2025 |
| 16 | Notebook-Template.ipynb | Notebook de travail | Python 3 | BROKEN | TEMPLATE | 15min | po-2025 |
| 17 | Semantic-fleet-MultiConnector-Routing.ipynb | Semantic-fleet MultiConnector : router les prompts… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 18 | Semantic-fleet-Radix-PromptMatcher.ipynb | Semantic-fleet : router les prompts par préfixe —… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 19 | Semantic-kernel-AutoInteractive.ipynb | Notebook de conception de Notebook | .NET (C#) | DEMO | BETA | 45min | po-2025 |
| 20 | Workbook-Template-Python.ipynb | Notebook de travail | .NET (C#) | READY | TEMPLATE | 30min | po-2025 |
| 21 | Workbook-Template.ipynb | Notebook de travail | .NET (C#) | BROKEN | TEMPLATE | 30min | po-2025 |
| 22 | fort-boyard-csharp.ipynb | Jeu de devinette : Père Fouras vs Laurent Jalabert | .NET (C#) | DEMO | DRAFT | 30min | po-2025 |
| 23 | fort-boyard-python.ipynb | Jeu de devinette : Père Fouras vs Laurent Jalabert | Python 3 | DEMO | BETA | 30min | po-2025 |
Texte (41)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | 01_OpenAI_Intro.ipynb | 1. Introduction a l’IA generative avec l’API… | Python 3 | DEMO | BETA | 30min | po-2025 |
| 2 | 02_PromptEngineering.ipynb | 2. Prompt Engineering : Techniques Avancées | Python 3 | DEMO | ALPHA | 45min | po-2025 |
| 3 | 03_Structured_Outputs.ipynb | 3. Structured Outputs : Sorties JSON Garanties | base | DEMO | BETA | 45min | po-2025 |
| 4 | 03b_Typed_Decisions_System1.ipynb | 3b. Décisions typées « système 1 » : décider sans… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 5 | 03c_Constrained_Decoding_Python.ipynb | 3c. Décodage contraint au niveau du token | Python 3 | DEMO | ALPHA | 45min | po-2025 |
| 6 | 04_Function_Calling.ipynb | Function Calling : Connecter les LLMs au Monde… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 7 | 05_RAG_Modern.ipynb | 5. RAG Modern - Retrieval Augmented Generation | Python 3 | DEMO | BETA | 45min | po-2025 |
| 8 | 06_PDF_Web_Search.ipynb | PDF et Web Search : Sources Documentaires avec… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 9 | 07_Code_Interpreter.ipynb | Code Interpreter : Exécution de Code avec OpenAI | Python 3 | DEMO | BETA | 30min | po-2025 |
| 10 | 08_Reasoning_Models.ipynb | 8. Reasoning Models | Python 3 | DEMO | BETA | 30min | po-2025 |
| 11 | 09_Production_Patterns.ipynb | 9. Production Patterns | Python 3 | DEMO | BETA | 30min | po-2025 |
| 12 | 09b_Prompt_Security_RedTeam.ipynb | 9b. Prompt Security & Red-Teaming sur notre stack… | Python 3 | DEMO | BETA | 30min | po-2025 |
| 13 | 09c_Production_Routage_Repli.ipynb | 9c. Routage et Repli : choisir le bon modèle, au… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 14 | 09d_Production_Caches.ipynb | 9d. Production Caches : payer une fois, servir… | Python 3 | READY | BETA | 30min | po-2025 |
| 15 | 09e_Production_Exploitation.ipynb | 9e — Production : l’exploitation (coût, budget,… | Python 3 | READY | DRAFT | 30min | po-2025 |
| 16 | 10_LocalLlama.ipynb | 10. Hébergement Local de Modèles Génératifs | Python 3 | DEMO | BETA | 45min | po-2025 |
| 17 | 10b_Inference_Mechanics.ipynb | 10b. Mécanique d’inférence LLM : construire et… | Python 3 | READY | BETA | 30min | po-2025 |
| 18 | 10c_Long_Context_Strategies.ipynb | 10c. Stratégies pour contextes longs — budget de… | Python 3 | READY | BETA | 45min | po-2025 |
| 19 | 10d_TensorSharp_DotNet_Inference.ipynb | 10d. TensorSharp : pilote d’inférence LLM native… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 20 | 10e_LLamaSharp_DotNet_BakeOff.ipynb | 10e. LLamaSharp : bake-off binding .NET de… | Python 3 | READY | BETA | 45min | po-2025 |
| 21 | 10f_ORTGenAI_DotNet_BakeOff.ipynb | 10f. ONNX Runtime GenAI : jambe finale du bake-off… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 22 | 11_Quantization.ipynb | 11. Quantization | Python 3 | DEMO | BETA | 45min | po-2025 |
| 23 | 12_Test_Time_Scaling.ipynb | 12. Test Time Scaling | Python 3 | DEMO | BETA | 45min | po-2025 |
| 24 | 13_Agentic_Orchestration.ipynb | 13. Orchestration agentique du test-time scaling | Python 3 | READY | BETA | 45min | po-2025 |
| 25 | 13b_Agent_Evaluation.ipynb | 13b — Évaluation d’agents : succès, coût, ablation… | Python 3 (coursia2) | READY | BETA | 30min | po-2025 |
| 26 | 14_Persistent_Memory.ipynb | 14. Memoire persistante pour le test-time scaling | Python 3 | READY | BETA | 30min | po-2025 |
| 27 | 14b_Paginated_Memory-Python.ipynb | 14b. Memoire paginee d’agent – fenetre glissante,… | Python 3 | READY | BETA | 30min | po-2025 |
| 28 | 15_Tree_of_Thoughts_Search.ipynb | 15. Tree-of-Thoughts sur de vrais problemes de… | Python 3 | READY | BETA | 30min | po-2025 |
| 29 | 16_Scaling_Test_Time_Compute.ipynb | 16. Scaling du test-time compute (Snell 2024) | Python 3 | READY | BETA | 30min | po-2025 |
| 30 | 17_Native_Reasoning_vs_Scaling.ipynb | 17. Modèles a raisonnement natif vs scaling du… | Python 3 | READY | BETA | 30min | po-2025 |
| 31 | 18_Semantic_Kernel_Plugins.ipynb | 18. Plugins Semantic Kernel pour le test-time… | Python 3 | READY | BETA | 30min | po-2025 |
| 32 | 19_OWUI_Orchestration.ipynb | 19. Orchestration et tâches planifiées avec Open… | Python 3 | READY | BETA | 30min | po-2025 |
| 33 | 20_OWUI_Native_API.ipynb | 20. OWUI Native API v0.9.6 — introspection REST et… | Python 3 | READY | BETA | 30min | po-2025 |
| 34 | 21_LoRA_FineTuning.ipynb | 21. Fine-tuning LoRA / QLoRA — Adapter un LLM sans… | Python (coursia-ml-training) | READY | DRAFT | 45min | po-2025 |
| 35 | 22_Evaluating_Generated_Text.ipynb | 22 — Évaluer les sorties générées : BLEU, ROUGE,… | Python 3 | READY | BETA | 45min | po-2025 |
| 36 | 22b_Profil_Cognitif_CHC.ipynb | 22b — Profil cognitif d’un LLM : batterie CHC,… | Python (coursia-ml-training) | READY | BETA | 45min | po-2025 |
| 37 | TV-00a-RoPE-from-scratch.ipynb | TV-00a — RoPE from scratch : coder la position par… | Python 3 | READY | BETA | 30min | po-2025 |
| 38 | TV-00b-Attention-Variants-from-scratch.ipynb | TV-00b — Variantes d’attention : MHA, MQA, GQA,… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 39 | TV-01-Attention-Variants-SOTA.ipynb | TV-01 — La boîte ouverte côté industrie :… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 40 | TV-02-MoE-SOTA.ipynb | TV-02 — MoE SOTA : le routage réel d’OLMoE-1B-7B | Python 3 | DEMO | BETA | 45min | po-2025 |
| 41 | TV-03-Internalisation-CoT.ipynb | TV-03 – Internalisation du raisonnement (CoT ->… | Python 3 | READY | DRAFT | 30min | po-2025 |
Vibe-Coding (8)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | 01-Claude-CLI-Bases.ipynb | Claude CLI - Les Bases | base | READY | BETA | 45min | po-2025 |
| 2 | 02-Claude-CLI-Sessions.ipynb | Claude CLI - Gestion des Sessions | Python 3 | READY | BETA | 45min | po-2025 |
| 3 | 03-Claude-CLI-References.ipynb | Claude CLI - References et Contexte | Python 3 | READY | BETA | 45min | po-2025 |
| 4 | 04-Claude-CLI-Agents.ipynb | Claude CLI - Agents et Subagents | Python 3 | READY | BETA | 45min | po-2025 |
| 5 | 05-Claude-CLI-Automatisation.ipynb | Claude CLI - Automatisation Avancee | Python 3 | READY | BETA | 45min | po-2025 |
| 6 | 01-claude-code-via-claudish.ipynb | Claude Code via Claudish | Python 3 | READY | BETA | 15min | po-2025 |
| 7 | CSharpRepl-Live-Patching.ipynb | CSharpRepl attache a un process .NET vivant | .NET (C#) | READY | ALPHA | 1h | po-2025 |
| 8 | Roslyn-Code-Guardrails.ipynb | Garde-fous Roslyn pour le code genere par agent | .NET (C#) | READY | BETA | 30min | po-2025 |
Video (22)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | 01-1-Video-Operations-Basics.ipynb | Opérations de Base sur les Videos | Python 3 | DEMO | ALPHA | 45min | po-2025 |
| 2 | 01-1b-Video-Slideshow-Bonus.ipynb | Bonus Slideshow Vidéo - Générateur de Slideshow… | Python 3 | READY | ALPHA | 15min | po-2025 |
| 3 | 01-2-GPT-5-Video-Understanding.ipynb | GPT-5 Video Understanding - Comprehension Video… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 4 | 01-3-Qwen-VL-Video-Analysis.ipynb | Qwen2.5-VL Video Analysis - Comprehension Video… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 5 | 01-4-Video-Enhancement-ESRGAN.ipynb | Video Enhancement - Real-ESRGAN et Interpolation… | Python 3 | DEMO | ALPHA | 45min | po-2025 |
| 6 | 01-5-AnimateDiff-Introduction.ipynb | AnimateDiff - Introduction a la Generation… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 7 | 02-1-HunyuanVideo-Generation.ipynb | HunyuanVideo | Python 3 | DEMO | BETA | 45min | po-2025 |
| 8 | 02-2-LTX-Video-Lightweight.ipynb | LTX-Video - Generation Video Rapide et Legere | Python 3 | DEMO | BETA | 45min | po-2025 |
| 9 | 02-3-Wan-Video-Generation.ipynb | Wan 2.1/2.2 - Generation Video Multilingue | Python 3 | DEMO | BETA | 45min | po-2025 |
| 10 | 02-4-SVD-Image-to-Video.ipynb | SVD - Stable Video Diffusion (Image-to-Video) | Python 3 | DEMO | ALPHA | 45min | po-2025 |
| 11 | 02-5-LTX2-Audiovisual.ipynb | LTX-2 - Generation Audiovisuelle Conjointe (Video… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 12 | 02-6-MiniMax-H3-Architecture-Licensing.ipynb | MiniMax H3 (Hailuo 3.0) — Architecture, capacités…… | Python 3 | DEMO | BETA | 15min | po-2025 |
| 13 | 02-7-CogVideoX-Text-to-Video.ipynb | CogVideoX - Generation Video depuis Texte (Open… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 14 | 03-1-Multi-Model-Video-Comparison.ipynb | Comparaison Multi-Modèles de Generation Video | Python 3 | DEMO | BETA | 45min | po-2025 |
| 15 | 03-2-Video-Workflow-Orchestration.ipynb | Orchestration de Pipelines Video | Python 3 | DEMO | ALPHA | 45min | po-2025 |
| 16 | 03-3-ComfyUI-Video-Workflows.ipynb | ComfyUI - Workflows Video via API | Python 3 | DEMO | BETA | 45min | po-2025 |
| 17 | 04-1-Educational-Video-Generation.ipynb | Generation de Videos Educatives | Python 3 | DEMO | BETA | 45min | po-2025 |
| 18 | 04-2-Creative-Video-Workflows.ipynb | Workflows Video Creatifs | Python 3 | DEMO | BETA | 45min | po-2025 |
| 19 | 04-3-Sora-API-Cloud-Video.ipynb | Sora API - Generation Video Cloud | Python 3 | DEMO | BETA | 45min | po-2025 |
| 20 | 04-4-Production-Video-Pipeline.ipynb | Pipeline Video de Production | Python 3 | DEMO | BETA | 45min | po-2025 |
| 21 | 04-5-MiniMax-H3-Cloud-Video.ipynb | MiniMax H3 (Hailuo) — Génération vidéo par le… | Python 3 | DEMO | BETA | 30min | po-2025 |
| 22 | 04-5b-MiniMax-video-01-v1-Cloud-Video.ipynb | MiniMax video-01 (v1) — Service cloud generation… | Python 3 | DEMO | BETA | 30min | po-2025 |
Search (157 notebooks) — READY:157 | ALPHA:9, BETA:143, DRAFT:5
Applications (59)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | App-1-NQueens.ipynb | App-1 : Le Problème des N-Reines | Python 3 | READY | BETA | 45min | po-2025 |
| 2 | App-11-Picross.ipynb | App-11 - Picross (Nonogrammes) | Python 3 | READY | BETA | 45min | po-2025 |
| 3 | App-11b-Picross-CSharp.ipynb | App-11b : Picross (Nonogrammes) — Jumeau C# | .NET (C#) | READY | BETA | 45min | po-2025 |
| 4 | App-15-SportsScheduling.ipynb | App-15 : Planification de Calendrier Sportif (CSP) | Python 3 | READY | BETA | 45min | po-2025 |
| 5 | App-15b-SportsScheduling-CSharp.ipynb | App-15b : Planification de Calendrier Sportif –… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 6 | App-16-Crossword-CSP-CSharp.ipynb | App-16-Crossword-CSP (C#) | .NET (C#) | READY | BETA | 45min | po-2025 |
| 7 | App-16-Crossword-CSP.ipynb | App-16 : Générateur de Mots Croises (CSP) | Python 3 | READY | BETA | 30min | po-2025 |
| 8 | App-19-ProceduralGeneration-WFC-CSharp.ipynb | App-19 (C#) — Génération procédurale par Wave… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 9 | App-19-ProceduralGeneration-WFC.ipynb | App-19 — Génération procédurale de niveaux via WFC… | .venv (3.14.3) | READY | BETA | 45min | po-2025 |
| 10 | App-1b-NQueens-CSharp.ipynb | App-1b : Le problème des N-Reines — Jumeau C# | .NET (C#) | READY | BETA | 45min | po-2025 |
| 11 | App-2-GraphColoring-Statistical-Validity-Python.ipynb | Coloration de graphes — validité statistique d’une… | Python 3 | READY | BETA | 30min | po-2025 |
| 12 | App-2-GraphColoring.ipynb | App-2 : Coloration de Graphes | Python 3 | READY | BETA | 45min | po-2025 |
| 13 | App-20-SudokuBenchmark-Python.ipynb | App-20 — Benchmark comparatif des solveurs Sudoku… | Python 3 | READY | BETA | 30min | po-2025 |
| 14 | App-20b-SudokuBenchmark-CSharp.ipynb | App-20b : Benchmark compare des solveurs Sudoku… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 15 | App-21-VoiceLeading.ipynb | Voice Leading Minimal par Affectation —… | Python 3 | READY | BETA | 45min | po-2025 |
| 16 | App-22-EdgeColoring-Tutte.ipynb | App-22 : Coloration d’arêtes et conjecture de… | Python 3 | READY | BETA | 30min | po-2025 |
| 17 | App-23-Factorio-Balancer.ipynb | App-23 - Factorio Belt Balancer (CP-SAT borne) | Python 3 | READY | BETA | 45min | po-2025 |
| 18 | App-26-CoveringArrays-Guarantee-Audit.ipynb | App-26 — Covering Arrays : tester les interactions… | Python 3 | READY | BETA | 30min | po-2025 |
| 19 | App-2b-GraphColoring-CSharp.ipynb | App-2b : Coloration de graphes — Jumeau C# | .NET (C#) | READY | BETA | 45min | po-2025 |
| 20 | App-3-NurseScheduling.ipynb | App-3 : Nurse Scheduling (Planification des… | Python 3 | READY | BETA | 45min | po-2025 |
| 21 | App-3b-NurseScheduling-CSharp.ipynb | App-3b : Nurse Scheduling — Twin C# (planification… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 22 | App-4-JobShopScheduling.ipynb | App-4 : Job-Shop Scheduling | Python 3 | READY | BETA | 45min | po-2025 |
| 23 | App-4b-JobShopScheduling-CSharp.ipynb | App-4b : Job-Shop Scheduling — Twin C#… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 24 | App-5-Timetabling-CSharp.ipynb | App-5 : Emploi du temps universitaire — Twin C#… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 25 | App-5-Timetabling.ipynb | App-5 : Emploi du temps universitaire (University… | Python 3 | READY | BETA | 45min | po-2025 |
| 26 | App-6-Minesweeper-CSharp.ipynb | App-6 - Demineur (C#) : CSP, probabilites et… | .NET (C#) | READY | ALPHA | 45min | po-2025 |
| 27 | App-6-Minesweeper.ipynb | App-6 - Demineur : CSP, Probabilites et… | Python 3 | READY | BETA | 45min | po-2025 |
| 28 | App-7-Wordle.ipynb | App-7 : Wordle Solver – CSP et théorie de… | Python 3 | READY | BETA | 45min | po-2025 |
| 29 | App-7b-Wordle-CSharp.ipynb | App-7b : Solveur Wordle – CSP et théorie de… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 30 | App-8-MiniZinc-CSharp.ipynb | App-8 : Modelisation declarative par contraintes… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 31 | App-8-MiniZinc.ipynb | App-8-MiniZinc : Modelisation declarative par… | Python 3 | READY | BETA | 45min | po-2025 |
| 32 | App-10-Portfolio.ipynb | App-10 : Optimisation de portefeuille par… | Python 3 | READY | BETA | 45min | po-2025 |
| 33 | App-10b-Portfolio-CSharp.ipynb | App-10b : Optimisation de portefeuille par… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 34 | App-13-TSP-Metaheuristics.ipynb | App-13 : Le Problème du Voyageur de Commerce (TSP) | Python 3 | READY | BETA | 45min | po-2025 |
| 35 | App-13b-TSP-Metaheuristics-CSharp.ipynb | App-13b : TSP (Voyageur de Commerce) — Jumeau C# | .NET (C#) | READY | BETA | 45min | po-2025 |
| 36 | App-17-VRP-Logistics.ipynb | App-17 : Vehicle Routing Problem (VRP) | Python 3 | READY | BETA | 45min | po-2025 |
| 37 | App-17b-VRP-Logistics-CSharp.ipynb | App-17b : Vehicle Routing Problem (VRP) — Twin C#… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 38 | App-17b-VRP-Logistics-Python.ipynb | App-17b : Vehicle Routing Problem (VRP) — Twin… | Python 3 | READY | BETA | 30min | po-2025 |
| 39 | App-18-HyperparameterTuning.ipynb | App-18: Optimisation d’Hyperparametres - Approches… | Python 3 | READY | BETA | 30min | po-2025 |
| 40 | App-18b-HyperparameterTuning-CSharp.ipynb | App-18b : Optimisation d’Hyperparametres - Jumeau… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 41 | App-18b-HyperparameterTuning-Python.ipynb | App-18b : Optimisation d’Hyperparametres (Python —… | Python 3 | READY | BETA | 30min | po-2025 |
| 42 | App-18c-HyperparameterTuning-Rustuna-vs-Optuna.ipynb | App-18c — Rustuna vs Optuna : mesurer un portage… | Python 3 | READY | BETA | 30min | po-2025 |
| 43 | App-22-AlgorithmSelection-Python.ipynb | App-22 — Sélection empirique d’algorithmes : trois… | Python 3 | READY | BETA | 30min | po-2025 |
| 44 | App-23-PRESENT-Differential-Cryptanalysis-SAT.ipynb | App-23 — Cryptanalyse différentielle de PRESENT… | Python 3 | READY | BETA | 30min | po-2025 |
| 45 | App-24-MAPF-Guarantee-Audit.ipynb | App-24 — MAPF : auditer les garanties des solveurs | Python 3 | READY | BETA | 30min | po-2025 |
| 46 | App-25-CombinatorialAuctions-WDP-VCG.ipynb | App-25 — Enchères combinatoires : Winner… | Python 3 | READY | BETA | 45min | po-2025 |
| 47 | App-27-Sparse-Index-Tracking-Walk-Forward.ipynb | App-27 — Sparse index tracking | Python 3 | READY | BETA | 30min | po-2025 |
| 48 | App-28-LearningToBranch-Generalization-Audit.ipynb | App-28 — Learning to branch | Python 3 | READY | BETA | 30min | po-2025 |
| 49 | App-29-SALBP-AssemblyLineBalancing-Audit.ipynb | App-29 — Équilibrage de chaîne d’assemblage… | Python 3 | READY | BETA | 30min | po-2025 |
| 50 | App-30-OrbitalAssembly-Certificate-Audit.ipynb | App-30 — Ordonnancement d’assemblage orbital | Python 3 | READY | BETA | 45min | po-2025 |
| 51 | App-31-RCPSP-Max-Feasibility-Bounds.ipynb | App-31 — RCPSP/max : quand la faisabilité devient… | Python 3 | READY | BETA | 45min | po-2025 |
| 52 | App-33-NeuralDiving-Coloration.ipynb | App-33 — Neural diving : un plongeur appris pour… | Python 3 | READY | BETA | 30min | po-2025 |
| 53 | App-9-EdgeDetection.ipynb | App-9 : Detection de bords par algorithmes… | Python 3 | READY | BETA | 45min | po-2025 |
| 54 | App-9b-EdgeDetection-CSharp.ipynb | TP : Conception d’Algorithmes Génétiques avec… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 55 | App-14-ConnectFour-Adversarial-CSharp.ipynb | App-14-ConnectFour-Adversarial-CSharp — Jumeau C#… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 56 | App-14-ConnectFour-Adversarial.ipynb | App-14 - Connect Four : Benchmark Adversarial… | Python 3 | READY | BETA | 45min | po-2025 |
| 57 | App-14b-ConnectFour.ipynb | App-14b : Puissance 4 – Comparaison d’algorithmes… | Python 3 | READY | BETA | 45min | po-2025 |
| 58 | App-14c-ConnectFour-CSharp.ipynb | App-14c (C#) : Puissance 4 – Comparaison… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 59 | App-32-Szpiro-Pasten-2026.ipynb | App-32 — Szpiro : Pasten 2026 rend N log log N… | Python 3 | READY | BETA | 15min | po-2025 |
Discrepancy (2)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Discrepancy-01-BeckFiala-Lean-Python.ipynb | Discrepancy-01 - Beck-Fiala (la noix disc <= 2k-1)… | Python 3 | READY | DRAFT | 15min | po-2025 |
| 2 | Discrepancy-02-Komlos-Lean.ipynb | Discrepancy-02 — Discrépance combinatoire : la… | Lean 4 (WSL) | READY | BETA | 45min | po-2025 |
Part1-Foundations (43)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Search-01-StateSpace-CSharp.ipynb | Search-1 : Espaces d’etats et formalisation de… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 2 | Search-01-StateSpace.ipynb | Search-1 : Espaces d’etats et formulation de… | Python 3 | READY | BETA | 45min | po-2025 |
| 3 | Search-02-Uninformed-CSharp.ipynb | Search-02-Uninformed (C#) : Algorithmes de… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 4 | Search-02-Uninformed.ipynb | Search-02-Uninformed : Algorithmes de Recherche… | Python 3 | READY | BETA | 1h | po-2025 |
| 5 | Search-02b-NetworkX-CSharp.ipynb | Search-02b : Théorie des Graphes avec NetworkX… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 6 | Search-02b-NetworkX.ipynb | Search-02b-NetworkX : Algorithmes de Graphe avec… | Python 3 | READY | BETA | 45min | po-2025 |
| 7 | Search-02c-QuikGraph.ipynb | Search-02c-QuikGraph : bibliotheque de graphes… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 8 | Search-03-Informed-CSharp.ipynb | Search-03-Informed (C#) : Recherche Informée | .NET (C#) | READY | BETA | 45min | po-2025 |
| 9 | Search-03-Informed.ipynb | Search-03-Informed : Algorithmes de Recherche… | Python 3 | READY | BETA | 45min | po-2025 |
| 10 | Search-03b-PatternDatabases-CSharp.ipynb | Search-03b (C#) — Bases de données de motifs… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 11 | Search-03b-PatternDatabases.ipynb | Search-03b — Bases de données de motifs (Pattern… | Python 3 | READY | BETA | 45min | po-2025 |
| 12 | Search-03c-LimitedDiscrepancySearch-CSharp.ipynb | Search-03c (C#) — Recherche à écart limité… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 13 | Search-03c-LimitedDiscrepancySearch.ipynb | Search-03c — Recherche à écart limité (Limited… | Python 3 | READY | BETA | 30min | po-2025 |
| 14 | Search-03d-WeightedAstar-CSharp.ipynb | Search-03d (C#) — Weighted A\* : recherche à… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 15 | Search-03d-WeightedAstar.ipynb | Search-03d — Weighted A\* : recherche à… | Python 3 | READY | BETA | 15min | po-2025 |
| 16 | Search-03e-AStar-Optimality.ipynb | Search-03e : A* et l’optimalité sous heuristique… | Python 3 | READY | BETA | 30min | po-2025 |
| 17 | Search-03f-Reparer-Localement-Sous-Garantie-Python.ipynb | Search-03f · Réparer localement sous garantie : la… | Python 3 | READY | BETA | 45min | po-2025 |
| 18 | Search-04-LocalSearch-CSharp.ipynb | Search-04-LocalSearch (C#) : Recherche Locale et… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 19 | Search-04-LocalSearch.ipynb | Search-04-LocalSearch : Recherche Locale et… | Python 3 | READY | BETA | 45min | po-2025 |
| 20 | Search-05-GeneticAlgorithms-CSharp.ipynb | Search-05-GeneticAlgorithms-CSharp : Algorithmes… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 21 | Search-05-GeneticAlgorithms.ipynb | Search-5 : Algorithmes génétiques | Python 3 | READY | BETA | 1h | po-2025 |
| 22 | Search-06-AdversarialSearch-CSharp.ipynb | Search-6 — Recherche adversariale (jeux à somme… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 23 | Search-06-AdversarialSearch.ipynb | Search-06-AdversarialSearch : Recherche… | Python 3 | READY | BETA | 45min | po-2025 |
| 24 | Search-07-MCTS-And-Beyond-CSharp.ipynb | Search-07-MCTS-And-Beyond (C#) : Monte Carlo Tree… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 25 | Search-07-MCTS-And-Beyond.ipynb | Search-07-MCTS-And-Beyond : Monte Carlo Tree… | Python 3 | READY | BETA | 45min | po-2025 |
| 26 | Search-08-DancingLinks-CSharp.ipynb | Search-08-DancingLinks-CSharp : L’algorithme X et… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 27 | Search-08-DancingLinks.ipynb | Search-08-DancingLinks : L’algorithme X et Dancing… | Python 3 | READY | BETA | 45min | po-2025 |
| 28 | Search-09-LinearProgramming-CSharp.ipynb | Search-9 : Programmation Linéaire et Simplexe (C#… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 29 | Search-09-LinearProgramming.ipynb | Search-09-LinearProgramming : Programmation… | Python 3 | READY | BETA | 45min | po-2025 |
| 30 | Search-09b-SpuriousMinima.ipynb | Search-09b : Minima fallacieux — le paysage de la… | Python 3 | READY | BETA | 15min | po-2025 |
| 31 | Search-09c-CombinatorialDiscrepancy.ipynb | Search-09c — Discrépance combinatoire : colorier… | Python 3 | READY | BETA | 15min | po-2025 |
| 32 | Search-10-SymbolicAutomata-CSharp.ipynb | Search-10 (C#) : Automates Finis Classiques —… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 33 | Search-10-SymbolicAutomata.ipynb | Search-10 : Automates Symboliques avec Z3 | Python 3 | READY | BETA | 45min | po-2025 |
| 34 | Search-11-Metaheuristics-CSharp.ipynb | Search-11 (C#) : Métaheuristiques — Optimisation… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 35 | Search-11-Metaheuristics.ipynb | Search-11-métaheuristiques : Optimisation avec… | Python 3 | READY | BETA | 45min | po-2025 |
| 36 | Search-11b-Metaheuristiques-Deep-Part2.ipynb | Search-11b (Part 2) : Particle Swarm Optimization… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 37 | Search-11b-Metaheuristiques-Deep-Part3.ipynb | Search-11b-Métaheuristiques-Deep-Part3 :… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 38 | Search-11b-Metaheuristiques-Deep-Part4.ipynb | Search-11b-Métaheuristiques-Deep-Part4 : Benchmark… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 39 | Search-11b-Metaheuristiques-Deep.ipynb | Search-11b : Métaheuristiques d’optimisation (C# /… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 40 | Search-11c-Empirical-Algorithm-Selection.ipynb | Search-11c — Sélection empirique d’algorithmes :… | Python 3 | READY | BETA | 45min | po-2025 |
| 41 | Search-11d-Descente-Sous-Budget.ipynb | Search-11d — Descente sous budget : la loi… | Python 3 | READY | BETA | 15min | po-2025 |
| 42 | Search-12a-Composer-Regards.ipynb | Search-12a — Composer des regards : play forward,… | Python 3 | READY | BETA | 30min | po-2025 |
| 43 | Search-13a-Traverser-Murs-Certifies.ipynb | Search-13a — Traverser des murs : chemins minimaux… | Python 3 | READY | BETA | 30min | po-2025 |
Part2-CSP (18)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | CSP-1-Fundamentals-CSharp.ipynb | CSP-1 : Fondamentaux des CSP - Version .NET… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 2 | CSP-1-Fundamentals.ipynb | CSP-1 : Fondamentaux des CSP | Python 3 | READY | BETA | 1h | po-2025 |
| 3 | CSP-2-Consistency-CSharp.ipynb | CSP-2 : Propagation de Contraintes et Consistance… | .NET (C#) | READY | BETA | 1h | po-2025 |
| 4 | CSP-2-Consistency.ipynb | CSP-2 : Propagation de Contraintes et Consistance | Python 3 | READY | BETA | 45min | po-2025 |
| 5 | CSP-3-Advanced-CSharp.ipynb | CSP-3 : CSP Avancé — Contraintes globales et… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 6 | CSP-3-Advanced.ipynb | CSP-3 : CSP Avance - Contraintes globales,… | Python 3 | READY | ALPHA | 45min | po-2025 |
| 7 | CSP-4-Scheduling-CSharp.ipynb | CSP-4-Scheduling-CSharp : Problèmes… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 8 | CSP-4-Scheduling.ipynb | CSP-4-Scheduling : Problèmes d’Ordonnancement | Python 3 | READY | BETA | 45min | po-2025 |
| 9 | CSP-5-Optimization-CSharp.ipynb | CSP-5-Optimization-CSharp : Optimisation… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 10 | CSP-5-Optimization.ipynb | CSP-5-Optimization : Problèmes d’Optimisation… | Python 3 | READY | BETA | 45min | po-2025 |
| 11 | CSP-6-Hybridization-CSharp.ipynb | CSP-6-Hybridation : Approches Hybrides Modernes… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 12 | CSP-6-Hybridization.ipynb | CSP-6-Hybridation : Approches Hybrides Modernes | Python 3 | READY | BETA | 45min | po-2025 |
| 13 | CSP-7-Soft-CSharp.ipynb | CSP-7 : Contraintes Souples avec Choco-solver | .NET (C#) | READY | BETA | 1h | po-2025 |
| 14 | CSP-7-Soft.ipynb | CSP-7 : Contraintes Souples - Soft CSP | Python 3 | READY | BETA | 1h | po-2025 |
| 15 | CSP-8-Temporal-CSharp.ipynb | CSP-8 : Temporels - Raisonnement sur le Temps | .NET (C#) | READY | BETA | 45min | po-2025 |
| 16 | CSP-8-Temporal.ipynb | CSP-8 : Temporels - Raisonnement sur le Temps | Python 3 | READY | BETA | 45min | po-2025 |
| 17 | CSP-9-Distributed-CSharp.ipynb | CSP-9-Distributed | .NET (C#) | READY | BETA | 45min | po-2025 |
| 18 | CSP-9-Distributed.ipynb | CSP-9-Distributed : CSP Distribués (DisCSP) | Python 3 | READY | BETA | 45min | po-2025 |
Part4-Metaheuristics (35)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | MGS-01-Introduction.ipynb | MGS-1 : Introduction a MetaGeneticSharp et au… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 2 | MGS-02-Composition.ipynb | MGS-2 : Composition de métaheuristiques – Match… | .NET (C#) | READY | ALPHA | 45min | po-2025 |
| 3 | MGS-03-Eukaryote.ipynb | MGS-3 : L’Eukaryote – sous-populations et… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 4 | MGS-04-Islands.ipynb | MGS-4 : Le Modèle Insulaire – populations… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 5 | MGS-05-CompoundMetaheuristics.ipynb | MGS-5 : Construire les métaheuristiques composées… | .NET (C#) | READY | DRAFT | 45min | po-2025 |
| 6 | MGS-06-Benchmarks.ipynb | MGS-6 : Benchmarks comparatifs – l’argument… | .NET (C#) | READY | ALPHA | 30min | po-2025 |
| 7 | MGS-07-TSP.ipynb | MGS-7 : TSP combinatoire – la grammaire de… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 8 | MGS-07b-LandscapeMultidim.ipynb | MGS-7b : projection multi-dimensionnelle des… | .NET (C#) | READY | DRAFT | 30min | po-2025 |
| 9 | MGS-07c-RosenbrockGriewank.ipynb | MGS-7c : Rosenbrock (vallée étroite) + Griewank… | .NET (C#) | READY | DRAFT | 30min | po-2025 |
| 10 | MGS-07d-MichalewiczDixonPrice.ipynb | MGS-7d : Michalewicz (steep ridges) + Dixon-Price… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 11 | MGS-08-LandscapeExplorer.ipynb | MGS-8 : Fitness Landscape Explorer – voir la… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 12 | MGS-09-EverestRelief.ipynb | MGS-9 - Trouver l’Everest : relief reel et bassins… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 13 | MGS-10-CenterBias.ipynb | MGS-10 : Le test du biais central — un optimiseur… | .NET (C#) | READY | ALPHA | 30min | po-2025 |
| 14 | MGS-11-IslandSynergy.ipynb | MGS-11 : Synergie d’iles complementaires –… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 15 | MGS-12-AxisAlignment.ipynb | MGS-12 : Le test de l’alignement d’axes – un… | .NET (C#) | READY | ALPHA | 45min | po-2025 |
| 16 | MGS-13-LandscapeDebias.ipynb | MGS-13 — Visualiser les paysages dé-biaisés :… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 17 | MGS-14-IslandSynergyFound.ipynb | MGS-14 — Trouver une synergie (et dire quand il… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 18 | MGS-15-LandscapeAnalysis.ipynb | MGS-15 : Analyse de paysage – la corrélation… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 19 | MGS-16-AlgorithmSelection.ipynb | MGS-16-AlgorithmSelection : Sélectionner le bon… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 20 | MGS-17-ParameterControl.ipynb | MGS-17 — Contrôle de paramètres (Parameter… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 21 | MGS-17b-Empirical-Algorithm-Selection.ipynb | MGS-17b — Selection empirique d’algorithmes : du… | Python 3 (ipykernel) | READY | DRAFT | 30min | po-2025 |
| 22 | MGS-18-CecBanc.ipynb | MGS-18 — Banc CEC consolide : la combinaison des… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 23 | MGS-19-MetropolisReinsertion.ipynb | MGS-19 — Recuit simulé décomposé : l’opérateur de… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 24 | MGS-20-Langage-de-Composition.ipynb | MGS-20 : Langage de composition pour… | Python 3 | READY | BETA | 30min | po-2025 |
| 25 | MGS-21-Representation-vs-Algorithme.ipynb | MGS-21 : Représentation contre algorithme — la… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 26 | MGS-22-MGS-vs-Mealpy.ipynb | MGS-22 : MGS contre mealpy — le bench croisé… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 27 | MGS-23-DifferentialEvolution-vs-Mealpy.ipynb | MGS-23 : DifferentialEvolution MGS contre mealpy —… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 28 | MGS-24-SimulatedAnnealing-vs-Mealpy.ipynb | MGS-24 : SimulatedAnnealing MGS contre mealpy —… | .NET (C#) | READY | ALPHA | 30min | po-2025 |
| 29 | MGS-25-WhaleOptimisation-vs-Mealpy.ipynb | MGS-25 : WhaleOptimisation MGS contre mealpy — le… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 30 | MGS-26-EquilibriumOptimizer-vs-Mealpy.ipynb | MGS-26 : EquilibriumOptimizer MGS contre mealpy —… | .NET (C#) | READY | ALPHA | 45min | po-2025 |
| 31 | MGS-27-ForensicBasedInvestigation-vs-Mealpy.ipynb | MGS-27 : ForensicBasedInvestigation MGS contre… | .NET (C#) | READY | ALPHA | 30min | po-2025 |
| 32 | MGS-28-BareBonesPSO-vs-Mealpy.ipynb | MGS-28 : Bare Bones PSO MGS contre mealpy — le PSO… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 33 | MGS-29-GA-vs-Mealpy.ipynb | MGS-29 : GA MGS compose “Default” contre BaseGA… | .NET (C#) | READY | BETA | 30min | po-2025 |
| 34 | MGS-30-ScatterSearch-Decomposition.ipynb | MGS-30 : Scatter Search MGS contre son ombre — la… | .NET (C#) | READY | BETA | 45min | po-2025 |
| 35 | MGS-31-Synthese-Croisee.ipynb | MGS-31 : Synthèse croisée MGS contre mealpy — neuf… | .NET (C#) | READY | BETA | 30min | po-2025 |
ML (130 notebooks) — DEMO:20, READY:110 | ALPHA:8, BETA:116, DRAFT:6
DataScienceWithAgents (107)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | 1.2-Manipulation_de_Donnees_avec_NumPy.ipynb | 1.2 - Manipulation de Données avec NumPy | Python 3 | READY | BETA | 45min | po-2023 |
| 2 | 1.3-Analyse_de_Donnees_avec_Pandas.ipynb | 1.3 - Analyse de Données avec Pandas | Python 3 | READY | BETA | 30min | po-2023 |
| 3 | 2.1-Workflow-ML.ipynb | 2.1 — Le workflow d’apprentissage automatique | Python 3 | READY | BETA | 45min | po-2023 |
| 4 | 2.10-Optimisation-Hyperparametres.ipynb | 2.10 — Optimisation d’hyperparamètres : grille,… | Python 3 | READY | BETA | 30min | po-2023 |
| 5 | 2.11-Regularisation-Sparse-LASSO.ipynb | 2.11 — Régularisation sparse : LASSO (L1) vs Ridge… | Python 3 | READY | BETA | 30min | po-2023 |
| 6 | 2.11b-Proximal-Operators-From-Scratch.ipynb | 2.11b — Operateurs proximaux : ISTA et FISTA from… | Python 3 | READY | BETA | 30min | po-2023 |
| 7 | 2.11c-Lasso-SOTA-Comparison.ipynb | 2.11c — Lasso SOTA : coordinate descent, LassoCV,… | Python 3 | READY | ALPHA | 30min | po-2023 |
| 8 | 2.11d-Optimisation-ADMM-From-Scratch.ipynb | 2.11d — ADMM from scratch | Python 3 | READY | ALPHA | 30min | po-2023 |
| 9 | 2.11e-CVXPY-Optimisation.ipynb | 2.11e — CVXPY : le problème déclaré, le solveur… | Python 3 | READY | DRAFT | 30min | po-2023 |
| 10 | 2.11f-Comparaison-Optimisation-Convexe.ipynb | 2.11f — Comparaison bloc A / bloc B : le tableau… | Python 3 | READY | BETA | 30min | po-2023 |
| 11 | 2.12-Donnees-Desequilibrees.ipynb | 2.12 — Données déséquilibrées : la courbe PR, les… | Python 3 | READY | BETA | 30min | po-2023 |
| 12 | 2.13-Analyse-Erreurs.ipynb | 2.13 — Analyse d’erreurs : diagnostiquer un modèle… | Python 3 | READY | BETA | 30min | po-2023 |
| 13 | 2.14-Explicabilite-SHAP-LIME-Contrefactuels.ipynb | 2.14 — Explicabilité (XAI) : SHAP, LIME et… | Python 3 | READY | BETA | 30min | po-2023 |
| 14 | 2.14b-XAI-Shap-Attribution-Causal-Bridge.ipynb | 2.14b — SHAP et do-calculus : la jonction… | Python 3 (coursia-ml-training) | READY | BETA | 30min | po-2023 |
| 15 | 2.15-Donnee-Comme-Responsabilite-Python.ipynb | 2.15 — La donnée comme responsabilité : inférence… | Python 3 | READY | BETA | 45min | po-2023 |
| 16 | 2.2-Descente-de-gradient.ipynb | 2.2 — La descente de gradient : comment un modèle… | Python 3 | READY | BETA | 45min | po-2023 |
| 17 | 2.3-Regression-lineaire-logistique.ipynb | 2.3 — Régression linéaire et régression logistique | Python 3 | READY | BETA | 45min | po-2023 |
| 18 | 2.3b-Naive-Bayes-Generatif.ipynb | Naive Bayes génératif vs régression logistique… | Python 3 | READY | BETA | 30min | po-2023 |
| 19 | 2.3c-Regression-Grande-Dimension.ipynb | Régression en grande dimension — quand p >> n :… | Python 3 | READY | BETA | 30min | po-2023 |
| 20 | 2.3d-Modele-Gaussien-LDA-QDA.ipynb | Modèle gaussien, frontière LDA / QDA | Python 3 | READY | BETA | 30min | po-2023 |
| 21 | 2.4-Arbres-Forets-Ensembles.ipynb | 2.4 — Arbres de décision, forêts aléatoires et… | Python 3 | READY | BETA | 45min | po-2023 |
| 22 | 2.4b-AdaBoost-From-Scratch.ipynb | 2.4b — AdaBoost from scratch : booster des… | Python 3 | READY | BETA | 45min | po-2023 |
| 23 | 2.5-Biais-Variance-CV-ROC.ipynb | 2.5 — Biais, variance, validation croisée et… | Python 3 | READY | BETA | 45min | po-2023 |
| 24 | 2.5b-Calibration-Probabilites.ipynb | 2.5b — Calibration des probabilités : reliability… | Python 3 | READY | BETA | 30min | po-2023 |
| 25 | 2.5c-Equite-Sous-Groupes.ipynb | 2.5c — Equite par sous-groupe : compromis… | Python 3 | READY | BETA | 30min | po-2023 |
| 26 | 2.5d-Derive-Distribution-Deploiement.ipynb | 2.5d — Dérive de distribution au déploiement :… | Python 3.11 (coursia-drift) | READY | ALPHA | 45min | po-2023 |
| 27 | 2.6-Clustering-KMeans-PCA.ipynb | 2.6 — Clustering (KMeans) et réduction de… | Python 3 | READY | BETA | 45min | po-2023 |
| 28 | 2.7-Modeles-Non-Parametriques.ipynb | 2.7 — Modèles non paramétriques : SVM et k plus… | Python 3 | READY | BETA | 30min | po-2023 |
| 29 | 2.7b-SMO-From-Scratch.ipynb | 2.7b — SMO from scratch : SVM soft-margin, boucle… | Python 3 | READY | BETA | 30min | po-2023 |
| 30 | 2.7c-SVM-SOTA-Comparison.ipynb | 2.7c — SVM SOTA : LIBSVM sous le capot de… | Python 3 | READY | BETA | 30min | po-2023 |
| 31 | 2.8-Theorie-PAC.ipynb | 2.8 — Théorie de l’apprentissage : PAC et… | Python 3 | READY | BETA | 30min | po-2023 |
| 32 | 2.8b-Theorie-PAC-Lean.ipynb | 2.8b - Theorie PAC en Lean : l’arc du lake… | Lean 4 (WSL) | READY | DRAFT | 30min | po-2023 |
| 33 | 2.8c-Borne-Temoin-Concentration.ipynb | 2.8c — Borne + Témoin extrémal + Concentration :… | Python (coursia-ml-training) | READY | BETA | 15min | po-2023 |
| 34 | 2.8d-Lean-Novikoff-Convergence.ipynb | Novikoff : la convergence du perceptron, démontrée… | Lean 4 (WSL) | READY | BETA | 30min | po-2023 |
| 35 | 2.9-Grokking-Generalisation.ipynb | 2.9 — Grokking : la généralisation qui arrive en… | Python 3 | READY | BETA | 30min | po-2023 |
| 36 | 2.9b-GenEFT-Theorie-Effective.ipynb | 2.9b — GenEFT : une théorie effective de la… | Python 3 | READY | BETA | 30min | po-2023 |
| 37 | 2.9c-Grokking-Diagrammes-Phases.ipynb | 2.9c — Grokking : le diagramme de phases | Python 3 | READY | BETA | 30min | po-2023 |
| 38 | 2.9d-Features-Circulaires-Helice-Nombres.ipynb | 2.9d — Features circulaires et hélice des nombres | Python 3 (coursia-ml-training) | DEMO | BETA | 1h | po-2023 |
| 39 | 2.9e-MIPS-Extraction-Programme.ipynb | 2.9e — MIPS : du réseau au programme | Python 3 | READY | BETA | 45min | po-2023 |
| 40 | 3.0-Theorie-Information.ipynb | 3.0 — Théorie de l’information : entropie, KL,… | Python 3 | READY | BETA | 30min | po-2023 |
| 41 | 3.1-Retropropagation.ipynb | 3.1 — La rétropropagation : la chaîne des… | Python 3 | READY | BETA | 30min | po-2023 |
| 42 | 3.10-Modeles-Generatifs-Diffusion-SOTA.ipynb | 3.10 — Le pendant SOTA : la bibliothèque diffusers… | Python 3 | READY | BETA | 45min | po-2023 |
| 43 | 3.11-Budget-Memoire-Entrainement.ipynb | 3.11 — Le budget mémoire d’un entraînement :… | Python 3 | DEMO | BETA | 1h | po-2023 |
| 44 | 3.12-Les-Collectives.ipynb | 3.12 — Les collectives : l’anneau à la main contre… | Python 3 (coursia-ml-training) | READY | BETA | 45min | po-2023 |
| 45 | 3.13-Decouper-le-Modele-DDP-ZeRO-FSDP.ipynb | 3.13 — Découper le modèle : DDP, ZeRO, FSDP — et… | Python 3 (coursia-ml-training) | DEMO | DRAFT | 45min | po-2023 |
| 46 | 3.13b-Deux-Cartes-Reelles-DDP-FSDP-nccl.ipynb | 3.13b — Deux vraies cartes : DDP et FSDP sous… | Python 3 | DEMO | DRAFT | 30min | po-2023 |
| 47 | 3.2-Optimisateurs.ipynb | 3.2 — Les optimisateurs : de SGD à Adam, ce qui… | Python 3 | READY | BETA | 30min | po-2023 |
| 48 | 3.3-Regularisation.ipynb | 3.3 — Régularisation : dropout, weight decay,… | Python 3 | READY | BETA | 30min | po-2023 |
| 49 | 3.4-Attention-Transformer-From-Scratch.ipynb | 3.4 — Attention et Transformer from scratch :… | Python 3 (coursia2) | READY | BETA | 45min | po-2023 |
| 50 | 3.4c-MoE-from-scratch.ipynb | 3.4c — Mixture of Experts : router les jetons,… | Python 3 (coursia-ml-training) | READY | BETA | 45min | po-2023 |
| 51 | 3.4d-Fourier-Features-Biais-Spectral-Python.ipynb | 3.4d — Fourier features et biais spectral : quand… | Python 3 | READY | ALPHA | 30min | po-2023 |
| 52 | 3.5-Phenomenes-de-Generalisation.ipynb | 3.5 — Grokking et double descente : quand la… | Python 3 | READY | BETA | 30min | po-2023 |
| 53 | 3.6-Modeles-Generatifs.ipynb | 3.6 — Modèles génératifs : trois objectifs, trois… | Python 3 | READY | BETA | 30min | po-2023 |
| 54 | 3.6b-Modeles-Generatifs-PyTorch.ipynb | 3.6b — Modèles génératifs en PyTorch : VAE, GAN et… | Python 3 | READY | BETA | 45min | po-2023 |
| 55 | 3.6c-Modeles-Generatifs-Diffusion-from-scratch.ipynb | 3.6c — Modèles génératifs par diffusion : DDPM… | Python 3 (ipykernel) | DEMO | DRAFT | 1h | po-2023 |
| 56 | 3.6d-Modeles-Generatifs-Score-SDE-from-scratch.ipynb | 3.6d — Modèles génératifs : Score-SDE *from… | Python 3 | DEMO | BETA | 1h30 | po-2023 |
| 57 | 3.6e-Modeles-Generatifs-Conditionnels-from-scratch.ipynb | 3.6e — Génération conditionnelle et… | Python 3 | DEMO | BETA | 45min | po-2023 |
| 58 | 3.7-Distillation-Maitre-Eleve.ipynb | 3.7 — Distillation maître-élève : quand le savoir… | coursia-ml-training | READY | BETA | 30min | po-2023 |
| 59 | 3.8-Representations-Contrastives.ipynb | Représentations contrastives modernes — du… | Python 3 | READY | BETA | 30min | po-2023 |
| 60 | 3.9-Compression-Quantization-FP.ipynb | 3.9 — Quantization FP : FP32 vers FP16 et BF16… | coursia-ml-training | READY | BETA | 45min | po-2023 |
| 61 | 3.9a-Compression-Quantization-INT8.ipynb | 3.9a — Compression par quantification INT8 : le… | Python 3 | READY | BETA | 45min | po-2023 |
| 62 | 3.9b-Compression-Pruning-from-scratch.ipynb | 3.9b — Compression par élagage : le réseau amputé… | Python 3 | DEMO | BETA | 1h | po-2023 |
| 63 | 3.9c-Pruning-From-Scratch.ipynb | 3.9c — Pruning from scratch : magnitude,… | Python 3 | DEMO | DRAFT | 45min | po-2023 |
| 64 | 3.9d-Compression-Distillation-from-scratch.ipynb | 3.9d — Compression par distillation : transférer… | Python 3 (coursia-ml-training) | DEMO | BETA | 45min | po-2023 |
| 65 | 3.9e-Compression-Quantization-SOTA.ipynb | 3.9e — Quantification SOTA : la même INT8, par… | Python 3 | READY | BETA | 45min | po-2023 |
| 66 | 3.9f-Compression-Pruning-SOTA.ipynb | 3.9f — Élagage SOTA : les mêmes masques, par… | Python 3 | READY | BETA | 45min | po-2023 |
| 67 | 3.9g-Compression-Comparatif-A-vs-B.ipynb | 3.9g — Comparatif compression : from scratch (Bloc… | Python 3 | READY | BETA | 45min | po-2023 |
| 68 | 4.1-Conv-NumPy-Torch-Allclose.ipynb | 4.1 — Le neurone convolutif from scratch : kernel… | Python 3 | READY | BETA | 30min | po-2023 |
| 69 | 4.2-ConvNet-Profonde-Residuelles.ipynb | 4.2 — ConvNet profonde : pourquoi les résiduelles | Python 3 | READY | BETA | 45min | po-2023 |
| 70 | 4.2b-Lean-GradientFlow-Vanishing.ipynb | Le gradient qui s’évanouit, le gradient qui survit… | Lean 4 (WSL) | READY | BETA | 30min | po-2023 |
| 71 | 4.2c-Detection-Anchor-From-Scratch.ipynb | 4.2c — Détection d’objets from scratch : la grille… | Python 3 | DEMO | BETA | 45min | po-2023 |
| 72 | 4.2d-Detection-AnchorFree-From-Scratch.ipynb | 4.2d — Détection d’objets anchor-free : le… | coursia-ml-training | READY | BETA | 45min | po-2023 |
| 73 | 4.2e-Detection-FocalLoss-From-Scratch.ipynb | 4.2e — Détection d’objets from scratch : la Focal… | Python 3 | READY | BETA | 30min | po-2023 |
| 74 | 4.2f-Detection-SOTA-Torchvision.ipynb | 4.2f — Détection SOTA : fine-tuner torchvision… | Python 3 | DEMO | BETA | 45min | po-2023 |
| 75 | 4.2g-Detection-SOTA-Ultralytics.ipynb | 4.2g — Détection SOTA : YOLO sous ultralytics, la… | Python 3 | DEMO | BETA | 45min | po-2023 |
| 76 | 4.2h-YOLOv5-Bench-Ultralytics.ipynb | 4.2h — Bench yolov5nu sur le terrain du 4.2c… | Python (coursia-ml-training) | READY | BETA | 30min | po-2023 |
| 77 | 4.2i-Detection-Ultralytics-Difficult-Scenes.ipynb | 4.2h — Détection SOTA : YOLO sous ultralytics,… | Python 3 (ipykernel) | DEMO | BETA | 45min | po-2023 |
| 78 | 4.2j-Detection-SOTA-LibreYOLO.ipynb | 4.2j — Détection SOTA : un second wrapper,… | Python 3 | READY | BETA | 45min | po-2023 |
| 79 | 4.2k-Detection-Adversarial-Camouflage.ipynb | 4.2k — Détection SOTA : le renversement — le… | Python 3 (ipykernel) | DEMO | BETA | 45min | po-2023 |
| 80 | 4.3-TransferLearning-ResNet.ipynb | 4.3 — Transfer learning : réutiliser un ResNet18… | Python 3 | READY | BETA | 45min | po-2023 |
| 81 | WS-00a-Ondelettes-1D-from-scratch.ipynb | WS-00a — Ondelettes 1D from scratch : analyse… | Python 3 | READY | BETA | 30min | po-2023 |
| 82 | WS-00b-Ondelettes-2D-from-scratch.ipynb | WS-00b — Ondelettes 2D from scratch : bandes… | Python 3 | READY | BETA | 30min | po-2023 |
| 83 | WS-00c-Scattering-from-scratch.ipynb | WS-00c — Scattering 2D from scratch : le module… | Python 3 | READY | BETA | 30min | po-2023 |
| 84 | WS-01-Denoising-SOTA.ipynb | WS-01 — Débruitage d’images : du seuillage *from… | Python 3 | READY | BETA | 30min | po-2023 |
| 85 | WS-02-Scattering-SOTA.ipynb | WS-02 — Scattering SOTA : kymatio contre le moteur… | Python 3 | READY | BETA | 45min | po-2023 |
| 86 | WS-03-Synthese-Scattering-vs-ResNet.ipynb | WS-03 — Synthèse : représentation construite vs… | Python 3 | READY | BETA | 30min | po-2023 |
| 87 | Lab1-PythonForDataScience.ipynb | Lab 1 - Les Bases de la Data Science en Python | Python 3 | READY | BETA | 30min | po-2023 |
| 88 | Lab2-RFP-Analysis.ipynb | Lab 2 - Analyser un Appel d’Offre avec l’IA | Python 3 | DEMO | BETA | 30min | po-2023 |
| 89 | Lab3-CV-Screening.ipynb | Lab 3 - Pré-qualifier des Candidats avec l’IA | Python 3 | DEMO | BETA | 15min | po-2023 |
| 90 | Lab4-DataWrangling.ipynb | Lab 4 - Le Nettoyage de Données avec Pandas | Python 3 | READY | BETA | 30min | po-2023 |
| 91 | Lab5-Viz-ML.ipynb | Lab 5 - De la Visualisation au Machine Learning | Python 3 | READY | BETA | 30min | po-2023 |
| 92 | Lab6-First-Agent.ipynb | Lab 6 - Anatomie de votre premier Agent d’IA | Python 3 | DEMO | BETA | 30min | po-2023 |
| 93 | Lab7-Data-Analysis-Agent.ipynb | Lab 7 - Votre premier Agent Analyste de Données | Python 3 | READY | BETA | 30min | po-2023 |
| 94 | Lab8-ADK-Introduction.ipynb | Lab 8: Introduction au Framework ADK et… | Python 3 | DEMO | BETA | 30min | po-2023 |
| 95 | Lab9-First-ADK-Agent.ipynb | Lab 9: Premier Agent ADK pour Data Science | Python 3 | READY | BETA | 30min | po-2023 |
| 96 | Lab10-File-Analyzer.ipynb | Lab 10: Data File Analyzer (DS-STAR Component) | Python 3 | READY | BETA | 30min | po-2023 |
| 97 | Lab11-Planner-Coder-Loop.ipynb | Lab 11: Planner-Coder-Verifier Loop (DS-STAR Core) | Python 3 | READY | ALPHA | 45min | po-2023 |
| 98 | Lab12-DS-Star-Workshop.ipynb | Lab 12: DS-STAR Workshop - Analyse Multi-Fichiers | Python 3 | READY | BETA | 45min | po-2023 |
| 99 | Lab12b-Sequential-Orchestration.ipynb | Lab 12b : Désignation séquentielle — le contrat… | Python 3 | READY | BETA | 30min | po-2023 |
| 100 | Lab12c-Agent-Handoff.ipynb | Lab 12c : Handoff entre agents — le contrat C5, le… | Python 3 | READY | BETA | 30min | po-2023 |
| 101 | Lab12d-Token-Usage.ipynb | Lab 12d : Tracabilite de la consommation — le… | Python 3 | READY | BETA | 30min | po-2023 |
| 102 | Lab12e-Session-Persistence.ipynb | Lab 12e: Persistance d’etat de session - une… | Python 3 (ipykernel) | DEMO | BETA | 30min | po-2023 |
| 103 | Lab13-Web-Search-SOTA.ipynb | Lab 13: Web Search pour Modèles SOTA (MLE-STAR… | Python 3 | READY | BETA | 30min | po-2023 |
| 104 | Lab14-Ablation-Refinement.ipynb | Lab 14: Ablation et Raffinement Ciblé (MLE-STAR… | Python 3 | READY | ALPHA | 30min | po-2023 |
| 105 | Lab15-Kaggle-Challenge.ipynb | Lab 15: Kaggle Challenge avec MLE-STAR | Python 3 | READY | BETA | 30min | po-2023 |
| 106 | Lab16-Data-Science-Agent.ipynb | Lab 16: Data Science Agent avec GCP BigQuery | Python 3 | READY | ALPHA | 30min | po-2023 |
| 107 | Lab17-Final-Project.ipynb | Lab 17: Projet Final - Pipeline DS-STAR Complet | Python 3 | READY | ALPHA | 45min | po-2023 |
ML.Net (23)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | ML-1-Introduction-Python.ipynb | ML-1 (Python) : Introduction au Machine Learning… | Python 3 | READY | BETA | 30min | po-2023 |
| 2 | ML-1-Introduction.ipynb | ML-1 : Introduction au Machine Learning avec… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 3 | ML-10-TSAD-Benchmark-Flaws-Python.ipynb | ML-10 (Python) : l’illusion de progression en… | Python 3 | READY | BETA | 30min | po-2023 |
| 4 | ML-11-MatrixProfile-Multidim-Python.ipynb | ML-11 : le Matrix Profile multidimensionnel, une… | Python 3 | READY | BETA | 45min | po-2023 |
| 5 | ML-2-Data&Features-Python.ipynb | ML-2 : Préparation des données et ingénierie des… | Python 3 | READY | BETA | 30min | po-2023 |
| 6 | ML-2-Data&Features.ipynb | ML-2 : Préparation des données et ingénierie des… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 7 | ML-3-Entrainement&AutoML.ipynb | ML-3 : Entraînement et AutoML | .NET (C#) | READY | BETA | 45min | po-2023 |
| 8 | ML-3-Entrainement-Python.ipynb | ML-3 (Python) : Entraînement et AutoML | Python 3 | READY | BETA | 30min | po-2023 |
| 9 | ML-4-Evaluation-Python.ipynb | ML-4 : Évaluation des modèles (Python / sklearn) | Python 3 | READY | BETA | 30min | po-2023 |
| 10 | ML-4-Evaluation.ipynb | ML-4 : Evaluation des modèles | .NET (C#) | READY | BETA | 2h+ | po-2023 |
| 11 | ML-4b-ModelComparison-Validity-Python.ipynb | ML-4b : Validité statistique des comparaisons de… | Python 3 | READY | BETA | 30min | po-2023 |
| 12 | ML-5-TimeSeries-Python.ipynb | ML-5 (Python) : Prévision de séries temporelles… | Python 3 | READY | BETA | 30min | po-2023 |
| 13 | ML-5-TimeSeries.ipynb | ML-5 : Time Series Forecasting avec ML.NET | .NET (C#) | READY | BETA | 45min | po-2023 |
| 14 | ML-5b-Series-Temporelles-Classiques-Python.ipynb | ML-5b (Python) : Séries temporelles classiques —… | Python 3 | READY | BETA | 30min | po-2023 |
| 15 | ML-6-ONNX-Python.ipynb | ML-6 (Python) : Intégration de modèles ONNX… | Python (coursia-ml-training) | READY | BETA | 30min | po-2023 |
| 16 | ML-6-ONNX.ipynb | ML-6 : ONNX Model Integration avec ML.NET | .NET (C#) | READY | BETA | 45min | po-2023 |
| 17 | ML-7-Recommendation-Python.ipynb | ML-7 (Python) : Systèmes de recommandation par… | Python 3 | READY | BETA | 30min | po-2023 |
| 18 | ML-7-Recommendation.ipynb | ML-7 : Systèmes de Recommandation avec ML.NET | .NET (C#) | READY | BETA | 45min | po-2023 |
| 19 | ML-8-Clustering-Python.ipynb | ML-8 (Python) : Clustering non-supervisé avec… | Python 3 | READY | BETA | 30min | po-2023 |
| 20 | ML-8-Clustering.ipynb | ML-8 : Clustering non-supervise avec K-Means | .NET (C#) | READY | BETA | 45min | po-2023 |
| 21 | ML-9-Anomaly-Detection-Python.ipynb | ML-9 (Python) : Détection d’anomalies par PCA… | Python 3 | READY | BETA | 30min | po-2023 |
| 22 | ML-9-Anomaly-Detection.ipynb | ML-9 : Detection d’anomalies avec Randomized PCA | .NET (C#) | READY | BETA | 45min | po-2023 |
| 23 | TP-prevision-ventes.ipynb | TP : Prevision des ventes d’assurance | .NET (C#) | READY | BETA | 30min | po-2023 |
SymbolicAI (319 notebooks) — DEMO:5, READY:314 | ALPHA:9, BETA:306, DRAFT:4
Racine (1)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | OR-tools-Stiegler.ipynb | Configuration de l’environnement C# | .NET (C#) | READY | BETA | 45min | po-2024 |
Argument_Analysis (32)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Argument_Analysis_Fallacy_Rules_Symboliques.ipynb | Détection symbolique de sophismes — l’étage… | Python 3 | READY | BETA | 30min | po-2024 |
| 2 | Argument_Analysis_Gouvernance_Multi_Agents.ipynb | Gouvernance multi-agents : scrutins, protocoles,… | Python 3 | READY | BETA | 30min | po-2024 |
| 3 | Argumentation-00-Setup-Tweety-Python.ipynb | Configuration de l’environnement (JVM Tweety… | Python 3 | READY | BETA | 15min | po-2024 |
| 4 | Argumentation-01-Toulmin-Model-Python.ipynb | Le modèle de Toulmin (1958) | Python 3 | READY | BETA | 15min | po-2024 |
| 5 | Argumentation-01b-Schemes-Walton-Python.ipynb | Reconnaître un schéma d’argumentation — la table… | Python 3 | READY | BETA | 30min | po-2024 |
| 6 | Argumentation-02-Fallacies-Detection-Python.ipynb | Détection de sophismes par taxonomie | Python 3 | READY | BETA | 30min | po-2024 |
| 7 | Argumentation-02b-Argumentum-Cards-Python.ipynb | Argumentum : la carte de sophisme, du nœud de… | Python 3 | READY | BETA | 30min | po-2024 |
| 8 | Argumentation-03-Dung-AF-Semantics-Python.ipynb | Argumentation abstraite de Dung — sémantiques… | Python 3 | READY | BETA | 45min | po-2024 |
| 9 | Argumentation-03b-Value-Based-AF-Python.ipynb | Argumentation basée sur les valeurs (VAF,… | Python 3 | READY | BETA | 15min | po-2024 |
| 10 | Argumentation-03c-Ranking-Semantics-Python.ipynb | Argumentation graduée — sémantiques de classement… | Python 3 | READY | BETA | 30min | po-2024 |
| 11 | Argumentation-04-Dialogues-Protocolises-Python.ipynb | Dialogues protocolisés : inquiry et persuasion… | Python 3 (ipykernel) | READY | BETA | 45min | po-2024 |
| 12 | Argumentation-04b-Knowledge-Base-Python.ipynb | La base de connaissances d’un débat —… | Python 3 | READY | BETA | 30min | po-2024 |
| 13 | Argumentation-05-Formal-Verification-Python.ipynb | Vérification logique formelle avec Tweety | Python 3 | READY | BETA | 30min | po-2024 |
| 14 | Argumentation-05b-Multi-Backend-Routing-Python.ipynb | Routage multi-backend : décider ou échouer… | Python 3 | READY | BETA | 30min | po-2024 |
| 15 | Argumentation-05c-Formal-Richness-Matrix-Python.ipynb | Matrice de richesse formelle — évaluer honnêtement… | Python 3 | READY | DRAFT | 30min | po-2024 |
| 16 | Argumentation-06-JTMS-Python.ipynb | Truth Maintenance System (JTMS) déterministe | Python 3 | READY | BETA | 30min | po-2024 |
| 17 | Argumentation-07-Orchestration-Python.ipynb | Deux paradigmes d’orchestration | Python 3 | READY | BETA | 30min | po-2024 |
| 18 | Argumentation-07b-Communication-Channels-Python.ipynb | Le bus de communication multi-agents — le contrat,… | Python 3 | READY | BETA | 30min | po-2024 |
| 19 | Argumentation-07c-Orchestration-Modes-Python.ipynb | Orchestration d’un debat : arbitrer entre sept… | Python 3 | READY | BETA | 30min | po-2024 |
| 20 | Argumentation-08-Capstone-Python.ipynb | Capstone d’intégration (baseline 0-shot vs… | Python 3 | READY | BETA | 45min | po-2024 |
| 21 | Argumentation-08b-Executor-Python.ipynb | Analyse rhétorique collaborative par agents IA —… | Python 3 | READY | BETA | 30min | po-2024 |
| 22 | Argumentation-08c-UI-Configuration-Python.ipynb | Interface de configuration et préparation du texte | Python 3 | READY | BETA | 30min | po-2024 |
| 23 | Argumentation-08d-Restitution-3-Actes-Python.ipynb | Restitution en 3 actes — scaffold déterministe,… | Python 3 (ipykernel) | DEMO | BETA | 45min | po-2024 |
| 24 | Argumentation-08e-Argument-Profile-Python.ipynb | ArgumentProfile : la fiche d’identité… | Python 3 | READY | BETA | 30min | po-2024 |
| 25 | Argumentation-Obs-01-Graphes-Dates-Python.ipynb | Graphes d’argumentation datés — l’instrument… | Python 3 | READY | BETA | 45min | po-2024 |
| 26 | Argumentation-Obs-02-Initiation-Python.ipynb | Observatoire des formes relationnelles — Cas 1 | Python 3 | READY | BETA | 30min | po-2024 |
| 27 | Argumentation-Obs-03-Recollement-Lectures-Python.ipynb | Strate 6 : le banc de recollement | Python 3 | READY | BETA | 30min | po-2024 |
| 28 | Argumentation-Obs-04-Recollement-Strate6-Python.ipynb | Strate 6 : le recollement sur lectures réellement… | Python 3 | READY | BETA | 45min | po-2024 |
| 29 | Argumentation-Onto-01-AIF-OWL2-Python.ipynb | Ontologie AIF.owl — l’architecture Argumentum des… | Python 3 | READY | ALPHA | 45min | po-2024 |
| 30 | Argumentation-Onto-02-CrossLinks-CSV-Python.ipynb | Liens croisés crossLink et attaques AIF du CSV… | Python 3 | READY | BETA | 30min | po-2024 |
| 31 | Argumentation-Onto-03-Vertus-SKOS-Python.ipynb | Ontologie des vertus argumentatives — le pôle… | Python 3 | READY | BETA | 30min | po-2024 |
| 32 | I2_Contre_arguments_ASPIC.ipynb | I2 — Génération de contre-arguments par… | Python 3 | READY | BETA | 45min | po-2024 |
Lean (89)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | ANALYSE-01-Sendov-Lean-Python.ipynb | ANALYSE-01 : La Conjecture de Sendov (preuve L.… | Python 3 | READY | BETA | 30min | po-2024 |
| 2 | ANALYSE-02-Tao-Lean-Python.ipynb | ANALYSE-02 : Le manuel Analysis I de T. Tao en… | Python 3 | READY | BETA | 30min | po-2024 |
| 3 | ANALYSE-03-PFR-Lean.ipynb | ANALYSE-03 : La conjecture de Freiman-Ruzsa… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 4 | ANALYSE-04-PFR-Primitives-Python.ipynb | ANALYSE-04 : Trois primitives de PFR, et l’endroit… | Python 3 | READY | BETA | 30min | po-2024 |
| 5 | Geometry-01-From-Figure-To-Equation.ipynb | Geometry 01 — De la figure à l’équation | Python 3 | READY | BETA | 30min | po-2024 |
| 6 | Geometry-02-From-Equation-To-Proof.ipynb | Geometry 02 — Prouver par l’algèbre | Python 3 | READY | BETA | 45min | po-2024 |
| 7 | Geometry-03-Wu-Method-Python.ipynb | Geometry 03 — La méthode de Wu | Python 3 | READY | BETA | 45min | po-2024 |
| 8 | Geometry-03b-Ritt-Decomposition-Python.ipynb | Geometry 03b — Décomposition de Ritt et… | Python 3 (ipykernel) | READY | BETA | 45min | po-2024 |
| 9 | Geometry-04-DD-AR-Python.ipynb | Geometry 04 — Raisonner comme un géomètre (DD +… | Python 3 | READY | BETA | 30min | po-2024 |
| 10 | 01-formes-modulaires-sl2z-hecke.ipynb | Langlands 01 : formes modulaires — de SL₂(ℤ) aux… | Python 3 | READY | BETA | 30min | po-2024 |
| 11 | 02-monstrous-moonshine-invariant-j.ipynb | Monstrous Moonshine : l’invariant \(j\) et le… | Python 3 | READY | BETA | 30min | po-2024 |
| 12 | Lean-01-Setup-Lean-Python.ipynb | Lean 4 - Installation et Configuration | Python 3 | READY | BETA | 30min | po-2024 |
| 13 | Lean-02-Dependent-Types-Lean.ipynb | Lean 2 - Types Dependants et Calcul des… | Lean 4 (WSL) | READY | BETA | 45min | po-2024 |
| 14 | Lean-03-Propositions-Proofs-Lean.ipynb | Lean 3 - Propositions et Preuves | Lean 4 | READY | BETA | 45min | po-2024 |
| 15 | Lean-03b-Formalized-Formal-Logic-Lean-Python.ipynb | Lean-3b — Formalized Formal Logic : le laboratoire… | Python 3 | READY | BETA | 30min | po-2024 |
| 16 | Lean-04-Quantifiers-Lean.ipynb | Lean 4 - Quantificateurs et Logique du Premier… | Lean 4 (WSL) | READY | BETA | 45min | po-2024 |
| 17 | Lean-05-Tactics-Lean.ipynb | Lean 5 - Mode Tactique | Lean 4 | READY | BETA | 1h | po-2024 |
| 18 | Lean-06-Mathlib-Essentials-Lean.ipynb | Lean 6 - Mathlib4 : La Bibliotheque Mathematique | Lean 4 | READY | BETA | 45min | po-2024 |
| 19 | Lean-07-LLM-Integration-Lean-Python.ipynb | Lean 7 - Integration des LLMs pour l’Assistance… | Python 3 (WSL) | READY | BETA | 45min | po-2024 |
| 20 | Lean-07b-Examples-Python.ipynb | Lean 7b - Exemples Progressifs et Benchmarks | Python 3 (WSL) | READY | BETA | 30min | po-2024 |
| 21 | Lean-08-Agentic-Proving-Python.ipynb | Lean-8 - Agents Autonomes pour Demonstration de… | Python 3 | READY | BETA | 30min | po-2024 |
| 22 | Lean-08b-Erdos-Formal-Conjectures-Lean.ipynb | Lean 8b : le programme Erdős et le pattern… | Lean 4 (WSL,… | READY | BETA | 30min | po-2024 |
| 23 | Lean-09-SK-Multi-Agents-Lean-Python.ipynb | Lean 9 : Multi-Agents avec Semantic Kernel | Python 3.13.x (CPython… | READY | BETA | 45min | po-2024 |
| 24 | Lean-10-LeanDojo.ipynb | Lean 10 : LeanDojo - ML/LLM Theorem Proving | Python 3 (WSL) | READY | BETA | 45min | po-2024 |
| 25 | Lean-10b-LeanDojo-v2-Pantograph-Lean-Python.ipynb | Lean-10b — LeanDojo-v2 : du tracage a la recherche… | Python 3 (leandojo-v2) | READY | BETA | 30min | po-2024 |
| 26 | Lean-11-TorchLean.ipynb | Lean 11 - TorchLean : Réseaux de Neurones… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 27 | Lean-11b-TorchLean-Python.ipynb | Lean 11b - TorchLean : Implémentation Python des… | Python 3 | READY | BETA | 45min | po-2024 |
| 28 | Lean-12-Sensitivity-Theorem.ipynb | Lean-12 : Le Théorème de Sensibilité (Huang 2019) | Python 3 | READY | BETA | 30min | po-2024 |
| 29 | Lean-12b-Lean-Sensitivity-Theorem.ipynb | Lean-12b — Théorème de Sensibilité de Huang… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 30 | Lean-12c-Tensor-Product-Representations-Lean.ipynb | Lean-12c : algèbre TPR — binding, unbinding et… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 31 | Lean-13-Kochen-Specker.ipynb | Lean-13 : Le Théorème de Kochen-Specker (Cabello… | Python 3 | READY | BETA | 30min | po-2024 |
| 32 | Lean-13b-CHSH-Tsirelson-Native.ipynb | Lean-13b : la borne de Tsirelson — digestion… | Lean 4 (WSL, conway-build) | READY | BETA | 30min | po-2024 |
| 33 | Lean-13c-CHSH-Landau-Saturation.ipynb | Lean-13c : la saturation de Tsirelson — le témoin… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 34 | Lean-13d-CHSH-Indeterminisme-Native.ipynb | Lean-13d : du CHSH au libre arbitre — la route… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 35 | Lean-14-Finiteness-Derivatives.ipynb | Lean-14 — Dérivées symboliques de Brzozowski : la… | Python 3 | READY | DRAFT | 15min | po-2024 |
| 36 | Lean-14b-Finiteness-Lean-Companion.ipynb | Lean-14b - Finiteness des dérivées de Brzozowski —… | Lean 4 (WSL) | READY | DRAFT | 30min | po-2024 |
| 37 | Lean-15-Grothendieck-Tribute.ipynb | Lean-15 : Hommage a Alexandre Grothendieck – Le… | Python 3 | READY | BETA | 30min | po-2024 |
| 38 | Lean-15b-Lean-Grothendieck.ipynb | Lean-15b : Grothendieck en Lean – Atelier… | Python 3 | READY | BETA | 45min | po-2024 |
| 39 | Lean-15c-Lean-Grothendieck-Companion.ipynb | Lean-15c : le lake Grothendieck par ses énoncés… | Lean 4 (WSL) | READY | BETA | 45min | po-2024 |
| 40 | Lean-15d-Lean-Grothendieck-Visuel-Python.ipynb | Lean-15d : Grothendieck en images | Python 3 | READY | ALPHA | 30min | po-2024 |
| 41 | Lean-16a-Conway-Man-and-Work.ipynb | Lean-16a - Conway, l’homme et l’oeuvre | Python 3 (ipykernel) | READY | BETA | 45min | po-2024 |
| 42 | Lean-16b-Conway-Game-of-Life-Lean.ipynb | Lean-16b : Hommage a John Conway — Game of Life as… | Python 3.13.x (CPython… | READY | BETA | 45min | po-2024 |
| 43 | Lean-16c-Conway-Game-of-Life-Golly.ipynb | Lean-16c - Conway Game of Life : les 3 piliers, en… | Python 3 | READY | BETA | 45min | po-2024 |
| 44 | Lean-16d-Conway-Game-of-Life-Lean-Native.ipynb | Lean-16d : Game of Life sur kernel Lean natif | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 45 | Lean-16e-Conway-FRACTRAN-Lean-Native.ipynb | Lean-16e : FRACTRAN, la machine universelle de… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 46 | Lean-16f-Conway-Free-Will-Theorem.ipynb | Lean-16f : Le Théorème du Libre Arbitre… | Python 3 | READY | BETA | 45min | po-2024 |
| 47 | Lean-16g-Conway-Canons.ipynb | Lean 16g — Canons : le barreau 2 de l’échelle des… | Python 3 (ipykernel) | READY | BETA | 30min | po-2024 |
| 48 | Lean-16h-Conway-PatternTour-Native.ipynb | Lean-16h : la tournée des motifs du Jeu de la Vie… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 49 | Lean-16i-Translateur-Life.ipynb | Lean-16i — Synthèse d’un translateur minuscule :… | Python 3.13.x (CPython… | READY | BETA | 15min | po-2024 |
| 50 | Lean-16j-Conway-Hashlife-Correctness-Native.ipynb | Lean-16j : la preuve de correction Hashlife —… | Lean 4 (WSL) | READY | BETA | 45min | po-2024 |
| 51 | Lean-17a-Knots-Conway-Proofs.ipynb | Lean 17a — Conway, les Nœuds et la Preuve de… | Python 3.13.15 (CPython… | READY | BETA | 30min | po-2024 |
| 52 | Lean-17b-Knots-Invariants-Companion.ipynb | Lean 17b — Invariants de Nœuds : Calcul et… | Python 3 | READY | BETA | 45min | po-2024 |
| 53 | Lean-17c-Knots-Companion-Formel.ipynb | Lean 17c — Le lake knot_lean par ses déclarations… | Python 3 | READY | BETA | 30min | po-2024 |
| 54 | Lean-20-Capstone-Digestions-Tao-Python.ipynb | Lean-20 : Capstone — digérer le travail formel de… | Python 3 | READY | BETA | 15min | po-2024 |
| 55 | Lean-21-MIMO-Detection-Flips.ipynb | Lean-21 : Detection MIMO par flips – le seuil 2… | Python 3 | READY | BETA | 30min | po-2024 |
| 56 | Lean-21b-MIMO-Converse-Native.ipynb | Lean-21b : le lake mimo_lean par ses énoncés —… | Lean 4 (WSL) | READY | BETA | 45min | po-2024 |
| 57 | Lean-21c-Descente-Budget.ipynb | Lean-21c : Le budget de descente - quand la… | Python 3 | READY | BETA | 30min | po-2024 |
| 58 | Lean-22-Galois-Probleme-Inverse-M23.ipynb | Lean-22 : Le problème inverse de Galois — M₂₃… | Python 3 | READY | BETA | 45min | po-2024 |
| 59 | Lean-23-ERC20-Invariant-Companion.ipynb | Lean-23 : ERC-20 sous Lean 4 — l’invariant de… | Python3 | READY | BETA | 15min | po-2024 |
| 60 | Lean-23b-Lean-ERC20-Native-Companion.ipynb | Lean-23b — ERC-20 natif : l’invariant de… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 61 | Lean-24-Calibration-Native-Companion.ipynb | Lean-24 : le lake calibration_lean par ses énoncés… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 62 | Lean-24b-Confiance-Preuves-Native.ipynb | Lean-24b : Confiance et preuves — quand un… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 63 | Lean-25-Coherence-et-Temoin.ipynb | Lean-25 — Cohérence et témoin : de Finetti… | Python 3 | READY | BETA | 30min | po-2024 |
| 64 | Lean-26-Munkres-Tribute.ipynb | Lean-26 : Hommage à James R. Munkres — le cours… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 65 | Lean-27-EdgeColoring-Tutte-Companion.ipynb | Lean-27 : coloration d’arêtes et conjecture de… | Lean 4 (WSL) | READY | BETA | 15min | po-2024 |
| 66 | Lean-28-Complex-Structure-S6.ipynb | Lean-28 : Le problème de Hopf sur S⁶ — digestion… | Python 3 | READY | BETA | 30min | po-2024 |
| 67 | Lean-29-Hecke-Operators-Native.ipynb | Lean-29 : les opérateurs de Hecke \(T_p\) et \(U_p\) —… | Lean 4 (WSL) | READY | BETA | 45min | po-2024 |
| 68 | Lean-30-FormalGroups-Native.ipynb | Lean-30 : groupes formels multivariés — compagnon… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 69 | Lean-31-Euler-Navier-Stokes.ipynb | Lean-31 : Euler et Navier–Stokes — reproduction… | Python 3 | READY | BETA | 45min | po-2024 |
| 70 | Lean-33-Distribution-Spaces.ipynb | Lean-33 : espaces de Schwartz — décroissance et… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 71 | Lean-34-Calculabilite-et-Limites.ipynb | Lean-34 — Calculabilité et limites : de l’arrêt… | Python 3 | READY | BETA | 30min | po-2024 |
| 72 | Lean-34b-FairBot-Loeb.ipynb | Lean-34b — FairBot par le théorème de Löb :… | Python 3 | READY | BETA | 30min | po-2024 |
| 73 | Lean-36-Structures-Finies-MUH-Lean.ipynb | Lean-36 : structures mathematiques finies —… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 74 | Lean-37-Capstone-Serre100.ipynb | Lean-37 : Capstone — la sous-série « Serre 100 » | Python 3.13.15 (CPython… | READY | BETA | 15min | po-2024 |
| 75 | 01-corps-finis-borne-hasse.ipynb | Corps finis et la borne de Hasse — distiller un… | Python 3 | READY | BETA | 30min | po-2024 |
| 76 | 02-valeurs-zeta-multiples-finies.ipynb | 2. Valeurs zêta multiples finies — l’anneau des… | Python 3 | READY | BETA | 30min | po-2024 |
| 77 | 03-cohomologie-cech-espaces-finis.ipynb | Cohomologie de Čech calculée — espaces… | Python 3 | READY | BETA | 45min | po-2024 |
| 78 | 04-lemme-yoneda-categories-finies.ipynb | Lemme de Yoneda calculé — catégories finies | Python 3 | READY | BETA | 30min | po-2024 |
| 79 | 05-table-de-caracteres.ipynb | 5. Tables de caractères — le squelette… | Python 3 | READY | BETA | 45min | po-2024 |
| 80 | 06-bulles-minkowski.ipynb | Les bulles diaboliques de Minkowski — géométrie… | Python 3 | READY | BETA | 30min | po-2024 |
| 81 | 07-zeros-fonctions-l-gaps-gue.ipynb | Zéros de fonctions L, gaps et statistique GUE | Python 3 | READY | BETA | 45min | po-2024 |
| 82 | 08-serre-dans-mathlib-Lean.ipynb | Serre dans Mathlib — tour guidé des cinq monuments | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 83 | 09-congruences-tau-lacunarite-delta.ipynb | τ de Ramanujan — congruences, borne de Deligne, et… | Python 3 | READY | BETA | 30min | po-2024 |
| 84 | 10-empilements-borne-lp-cohn-elkies.ipynb | 10 — Empilements de sphères : la borne linéaire de… | Python 3 | READY | BETA | 30min | po-2024 |
| 85 | 11-corps-quadratiques-reciprocite-quadratique.ipynb | 11 — Corps quadratiques imaginaires, caractères de… | Python 3 | READY | BETA | 15min | po-2024 |
| 86 | 12-formes-quadratiques-binaires-nombre-classes.ipynb | 12 - Formes quadratiques binaires et nombre de… | Python 3 | READY | BETA | 30min | po-2024 |
| 87 | 13-jacobi-kronecker-reciprocite-II.ipynb | 13 - Loi de reciprocité quadratique II : symbole… | Python 3 | READY | BETA | 15min | po-2024 |
| 88 | 14-formes-quadratiques-composition-gauss.ipynb | 14 - Composition des formes quadratiques binaires… | Python 3 | READY | BETA | 15min | po-2024 |
| 89 | 15-quatre-carres-lagrange.ipynb | 15 - Théorème de Lagrange : tout entier est somme… | Python 3 | READY | BETA | 15min | po-2024 |
Planners (25)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Planners-0-Setup.ipynb | Planners-0-Setup | Python 3 | READY | BETA | 30min | po-2024 |
| 2 | Planners-1-Introduction-Csharp.ipynb | Planners-1-Introduction-Csharp : la planification… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 3 | Planners-1-Introduction.ipynb | Planners-1-Introduction a la Planification… | Python 3 | READY | BETA | 30min | po-2024 |
| 4 | Planners-2-PDDL-Basics-Csharp.ipynb | Planners-2-PDDL-Basics-Csharp | .NET (C#) | READY | BETA | 45min | po-2024 |
| 5 | Planners-2-PDDL-Basics.ipynb | Planners-2-PDDL-Basics | Python 3 | READY | BETA | 30min | po-2024 |
| 6 | Planners-3-State-Space-Csharp.ipynb | Planners-3 : Recherche dans l’Espace d’Etats —… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 7 | Planners-3-State-Space.ipynb | Planners-3-State-Space - Recherche dans l’Espace… | Python 3 | READY | BETA | 45min | po-2024 |
| 8 | Planners-4-Fast-Downward-Csharp.ipynb | Planners-4-Fast-Downward (C#) | .NET (C#) | READY | BETA | 45min | po-2024 |
| 9 | Planners-4-Fast-Downward.ipynb | Planners-4-Fast-Downward - Planificateur Classique | Python 3 | READY | BETA | 45min | po-2024 |
| 10 | Planners-5-Heuristics-Csharp.ipynb | Planners-5-Heuristics-Csharp | .NET (C#) | READY | BETA | 45min | po-2024 |
| 11 | Planners-5-Heuristics.ipynb | Planners-5-Heuristiques en Planification | Python 3 | READY | BETA | 45min | po-2024 |
| 12 | Planners-5b-Lean-Relaxation.ipynb | Planners-5b — Admissibilité de la relaxation… | Lean 4 (WSL) | READY | BETA | 15min | po-2024 |
| 13 | Planners-5c-Differentiel-Atteignabilite.ipynb | Planners-5c — Le différentiel d’atteignabilité :… | Python 3 | READY | BETA | 30min | po-2024 |
| 14 | Planners-6-Domains-Csharp.ipynb | Planners-6-Domains-Csharp — Jumeau C# :… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 15 | Planners-6-Domains.ipynb | Planners-6-Domains - Domaines Classiques de… | Python 3 | READY | BETA | 45min | po-2024 |
| 16 | Planners-7-OR-Tools-Csharp.ipynb | Planners-7-OR-Tools-Csharp — Jumeau C# : solveur… | .NET (C#) | READY | BETA | 30min | po-2024 |
| 17 | Planners-7-OR-Tools.ipynb | Planners-7-OR-Tools - Programmation par… | Python 3 | READY | BETA | 45min | po-2024 |
| 18 | Planners-8-Temporal-Csharp.ipynb | Planners-8-Temporal — Planification Temporelle… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 19 | Planners-8-Temporal.ipynb | Planners-8-Temporal - Planification Temporelle | Python 3 | READY | BETA | 45min | po-2024 |
| 20 | Planners-9-HTN-Csharp.ipynb | Planners-9-HTN (C#) | .NET (C#) | READY | BETA | 45min | po-2024 |
| 21 | Planners-9-HTN.ipynb | Planners-9-HTN - Planification Hiérarchique | Python 3 | READY | BETA | 45min | po-2024 |
| 22 | Planners-10-LLM-Planning.ipynb | Planners-10: LLMs pour la Planification | Python 3 | READY | BETA | 45min | po-2024 |
| 23 | Planners-10b-LLM-Space-Reducer.ipynb | Planners-10b: Le LLM comme reducteur d’espace de… | Python 3 | READY | BETA | 30min | po-2024 |
| 24 | Planners-11-Unified-Planning.ipynb | Planners-11: Unified Planning | Python 3 | READY | BETA | 45min | po-2024 |
| 25 | Planners-12-LOOP.ipynb | Planners-12: Learning to Plan avec LOOP | Python 3 | READY | BETA | 45min | po-2024 |
SemanticWeb (28)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | RDF.Net.ipynb | Introduction au web sémantique avec RDF.Net | .NET (C#) | READY | BETA | 2h+ | po-2024 |
| 2 | SW-1-CSharp-Setup.ipynb | SW-1-Setup | .NET (C#) | READY | BETA | 30min | po-2024 |
| 3 | SW-10-CSharp-RDFStar.ipynb | SW-10-CSharp-RDFStar — Jumeau C# : annoter des… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 4 | SW-10-Python-RDFStar.ipynb | SW-10-Python-RDFStar | Python 3 | READY | BETA | 45min | po-2024 |
| 5 | SW-11-CSharp-KnowledgeGraphs.ipynb | SW-11-CSharp-KnowledgeGraphs | .NET (C#) | READY | ALPHA | 45min | po-2024 |
| 6 | SW-11-Python-KnowledgeGraphs.ipynb | SW-11-Python-KnowledgeGraphs | Python 3 | READY | ALPHA | 1h | po-2024 |
| 7 | SW-12-Python-GraphRAG.ipynb | SW-12-Python-GraphRAG | Python 3 | DEMO | BETA | 45min | po-2024 |
| 8 | SW-13-Python-Reasoners.ipynb | SW-13-Reasoners | Python 3 | READY | BETA | 1h | po-2024 |
| 9 | SW-13-Reasoners-CSharp.ipynb | SW-13 (C#) : Raisonneurs RDF/OWL — Inferer des… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 10 | SW-14-Python-Coup-Ontologique.ipynb | SW-14 — Le coup ontologique comme diff de graphe… | Python 3 | READY | BETA | 30min | po-2024 |
| 11 | SW-15-Python-Coup-Argumentatif.ipynb | SW-15 — Le coup argumentatif : greffer AIF sur le… | Python 3 | READY | BETA | 30min | po-2024 |
| 12 | SW-16-Python-ProofCarryingOntologies.ipynb | SW-16 — Proof-Carrying Ontologies : le certificat… | Python 3 | READY | BETA | 45min | po-2024 |
| 13 | SW-2-CSharp-RDFBasics.ipynb | SW-2-RDFBasics | .NET (C#) | READY | BETA | 45min | po-2024 |
| 14 | SW-2b-Python-RDFBasics.ipynb | SW-2b-Python-RDFBasics | Python 3 | READY | BETA | 45min | po-2024 |
| 15 | SW-3-CSharp-GraphOperations.ipynb | SW-3-GraphOperations | .NET (C#) | READY | BETA | 1h | po-2024 |
| 16 | SW-3b-Python-GraphOperations.ipynb | SW-3b-Python-GraphOperations | Python 3 (ipykernel) | READY | BETA | 45min | po-2024 |
| 17 | SW-4-CSharp-SPARQL.ipynb | SW-4-SPARQL | .NET (C#) | READY | BETA | 45min | po-2024 |
| 18 | SW-4b-Python-SPARQL.ipynb | SW-4b-Python-SPARQL | Python 3 | READY | BETA | 45min | po-2024 |
| 19 | SW-5-CSharp-LinkedData.ipynb | SW-5-LinkedData | .NET (C#) | READY | BETA | 45min | po-2024 |
| 20 | SW-5b-Python-LinkedData.ipynb | SW-5b-Python-LinkedData | .venv (3.12.3) | DEMO | BETA | 45min | po-2024 |
| 21 | SW-6-CSharp-RDFS.ipynb | SW-6-RDFS | .NET (C#) | READY | BETA | 45min | po-2024 |
| 22 | SW-6b-Python-RDFS.ipynb | SW-6b-Python-RDFS | Python 3 (ipykernel) | READY | BETA | 30min | po-2024 |
| 23 | SW-7-CSharp-OWL.ipynb | SW-7-OWL | .NET (C#) | READY | BETA | 45min | po-2024 |
| 24 | SW-7b-Python-OWL.ipynb | SW-7b-Python-OWL | Python 3 | DEMO | BETA | 45min | po-2024 |
| 25 | SW-8-CSharp-SHACL.ipynb | SW-8-CSharp-SHACL | .NET (C#) | READY | BETA | 45min | po-2024 |
| 26 | SW-8-Python-SHACL.ipynb | SW-8-Python-SHACL | Python 3 | READY | BETA | 45min | po-2024 |
| 27 | SW-9-CSharp-JSONLD.ipynb | SW-9-CSharp-JSONLD – JSON-LD avec dotNetRDF (twin… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 28 | SW-9-Python-JSONLD.ipynb | SW-9-Python-JSONLD | Python 3 | READY | BETA | 1h | po-2024 |
SmartContracts (31)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | SC-00-Cypherpunk-Origins-Python.ipynb | SC-00-Cypherpunk-Origins-Python - Les origines… | Python 3 | READY | BETA | 45min | po-2024 |
| 2 | SC-01-Setup-Foundry-Python.ipynb | SC-01-Setup-Foundry-Python - Environnement Smart… | Python 3 | READY | BETA | 15min | po-2024 |
| 3 | SC-02-Setup-Web3py-Python.ipynb | SC-02-Setup-Web3py-Python - Python et la… | Python 3 | READY | BETA | 30min | po-2024 |
| 4 | SC-02b-Bac-ASable-Institutionnel-Python.ipynb | SC-2b - Bac a sable institutionnel : des acteurs,… | Python 3 | READY | BETA | 45min | po-2024 |
| 5 | SC-03-Solidity-Basics-Python.ipynb | SC-03-Solidity-Basics-Python - Fondements de… | .venv | READY | BETA | 45min | po-2024 |
| 6 | SC-04-Functions-State-Python.ipynb | SC-04-Functions-State-Python - Fonctions et État | Python 3 | READY | BETA | 45min | po-2024 |
| 7 | SC-05-Inheritance-Python.ipynb | SC-05-Inheritance-Python - Heritage et Interfaces | Python 3 | READY | BETA | 30min | po-2024 |
| 8 | SC-06-Errors-Events-Python.ipynb | SC-06-Errors-Events-Python - Erreurs et Événements | Python 3 | READY | BETA | 30min | po-2024 |
| 9 | SC-07-Token-Standards-Python.ipynb | SC-07-Token-Standards-Python - Standards de Tokens | Python 3 | READY | BETA | 30min | po-2024 |
| 10 | SC-07c-ERC20-Lean.ipynb | SC-7c : ERC-20 — compagnon natif Lean (kernel… | Lean 4 (WSL) | READY | ALPHA | 30min | po-2024 |
| 11 | SC-08-DeFi-Primitives-Python.ipynb | SC-08-DeFi-Primitives-Python - Primitives DeFi | Python 3 | READY | BETA | 30min | po-2024 |
| 12 | SC-09-DAO-Governance-Python.ipynb | SC-09-DAO-Governance-Python - Gouvernance DAO | cours-ia | READY | BETA | 30min | po-2024 |
| 13 | SC-10-Account-Abstraction-Python.ipynb | SC-10-Account-Abstraction-Python - ERC-4337 v0.9 | Python 3 | READY | BETA | 30min | po-2024 |
| 14 | SC-11-LLM-Assisted-Python.ipynb | SC-11-LLM-Assisted-Python - Développement Smart… | Python 3 | READY | BETA | 45min | po-2024 |
| 15 | SC-7b-ERC20-Lean-Verification-Companion.ipynb | SC-7b : ERC-20 + Lean — vérification formelle de… | Python3 | READY | BETA | 15min | po-2024 |
| 16 | SC-12-Foundry-Testing-Python.ipynb | SC-12-Foundry-Testing-Python - Tests avec Foundry | Python 3 | READY | BETA | 45min | po-2024 |
| 17 | SC-13-Fuzz-Invariants-Python.ipynb | SC-13-Fuzz-Invariants-Python - Fuzz Testing | Python 3 | READY | BETA | 30min | po-2024 |
| 18 | SC-14-Formal-Verification-Python.ipynb | SC-14-Formal-Vérification - Vérification Formelle | Python 3 | DEMO | BETA | 30min | po-2024 |
| 19 | SC-15-Zero-Knowledge-Proofs-Python.ipynb | SC-15-Zero-Knowledge-Proofs-Python - Preuves a… | Python 3 | READY | BETA | 45min | po-2024 |
| 20 | SC-16-Homomorphic-Encryption-Python.ipynb | SC-16-Homomorphic-Encryption-Python - Chiffrement… | Python 3 (SC-16 Concrete, WSL) | READY | BETA | 30min | po-2024 |
| 21 | SC-17-E2E-Verifiable-Voting-Python.ipynb | SC-17-E2E-Verifiable-Voting-Python - Vote… | Python 3 | READY | BETA | 30min | po-2024 |
| 22 | SC-18-Vyper-Python.ipynb | SC-18-Vyper-Python - Smart Contracts en… | Python 3 | READY | BETA | 30min | po-2024 |
| 23 | SC-19-Ripple-XRP-Python.ipynb | SC-19-Ripple-XRP-Python - Protocole Ripple et XRP… | Python 3 (smartcontracts) | READY | BETA | 30min | po-2024 |
| 24 | SC-20-Bitcoin-Scripting-Python.ipynb | SC-20-Bitcoin-Scripting-Python - Bitcoin, UTXO et… | .venv | READY | BETA | 30min | po-2024 |
| 25 | SC-21-Move-Sui-Python.ipynb | SC-21-Move-Sui-Python - Move sur Sui | Python 3 | READY | BETA | 30min | po-2024 |
| 26 | SC-22-Solana-Anchor-Python.ipynb | SC-22-Solana-Anchor-Python - Solana avec Anchor | Python 3 | READY | BETA | 30min | po-2024 |
| 27 | SC-23-Cross-Chain-Python.ipynb | SC-23-Cross-Chain-Python - Interoperabilite… | Python 3 | READY | BETA | 30min | po-2024 |
| 28 | SC-24-Testnet-Deploy-Python.ipynb | SC-24 : Deploiement sur Testnets | Python 3 | READY | BETA | 30min | po-2024 |
| 29 | SC-25-Mainnet-Deploy-Python.ipynb | SC-25 : Deploiement Mainnet (L2) | Python 3 | READY | BETA | 30min | po-2024 |
| 30 | SC-26-Final-Project-Python.ipynb | SC-26 : Projet Final - DApp Complete | Python 3 | READY | BETA | 15min | po-2024 |
| 31 | SC-27-Dette-Irreversibilite-Python.ipynb | SC-27 : Dette d’irréversibilité — la boucle de… | Python 3 | READY | BETA | 30min | po-2024 |
SMT (47)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Z3-01-Introduction-CSharp.ipynb | Z3 (C# / .NET) — Introduction au solveur SMT | .NET (C#) | READY | BETA | 30min | po-2024 |
| 2 | Z3-01-Introduction-Python.ipynb | Z3-Python 01 — Introduction a la resolution de… | Python 3 | READY | BETA | 30min | po-2024 |
| 3 | Z3-01b-Style-Declaratif-Linq.ipynb | Z3-Python 01b — Du style declaratif LINQ au… | Python 3 | READY | BETA | 15min | po-2024 |
| 4 | Z3-02-Sudoku-CSharp.ipynb | Z3 (C# / .NET) — Sudoku par contraintes | .NET (C#) | READY | BETA | 30min | po-2024 |
| 5 | Z3-02-Sudoku-Python.ipynb | Z3-Python 02 — Sudoku comme problème de… | Python 3 | READY | BETA | 15min | po-2024 |
| 6 | Z3-03-Tactics-CSharp.ipynb | Z3 (C# / .NET) — Tactiques, théories BitVec et… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 7 | Z3-03-Tactics-Python.ipynb | Z3-Python 03 — Tactiques et théories | Python 3 | READY | BETA | 30min | po-2024 |
| 8 | Z3-04-Strings-Regex-CSharp.ipynb | Z3 (C# / .NET) — Théorie des chaînes et… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 9 | Z3-04-Strings-Regex-Python.ipynb | Z3-Python 04 — Chaînes de caractères et… | Python 3 | READY | BETA | 30min | po-2024 |
| 10 | Z3-05-Quantifiers-Proofs-CSharp.ipynb | Z3 (C# / .NET) — Quantificateurs et preuves par… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 11 | Z3-05-Quantifiers-Proofs-Python.ipynb | Z3-Python 05 — Quantificateurs et preuves… | Python 3 | READY | BETA | 30min | po-2024 |
| 12 | Z3-06-Advanced-Optimization-CSharp.ipynb | Z3-Python 06 – Optimisation avancee (twin C#) | .NET (C#) | READY | BETA | 45min | po-2024 |
| 13 | Z3-06-Advanced-Optimization-Python.ipynb | Z3-Python 06 — Optimisation avancee | Python 3 | READY | BETA | 30min | po-2024 |
| 14 | Z3-08-Ordonnancement-Python.ipynb | Z3-Python-08 : Ordonnancement de tâches (Job-Shop… | Python 3 | READY | BETA | 30min | po-2024 |
| 15 | Z3-09-Enigme-Einstein-Python.ipynb | Z3-Python-09 : L’enigme d’Einstein (Zebra puzzle) | Python 3 | READY | BETA | 15min | po-2024 |
| 16 | Z3-10-Cryptarithmetic-Python.ipynb | 10. Cryptarithmes (SEND + MORE = MONEY) | Python 3 | READY | BETA | 15min | po-2024 |
| 17 | Z3-11-Graph-Coloring-Python.ipynb | 11 - Coloration de Graphe avec Z3 | Python 3 | READY | BETA | 30min | po-2024 |
| 18 | Z3-12-Real-Arithmetic-Python.ipynb | 12. Arithmetique reelle : raisonner sur les… | Python 3 | READY | BETA | 30min | po-2024 |
| 19 | Z3-13-UnsatCores-Python.ipynb | 13. UNSAT cores : expliquer l’insatisfiabilite (le… | Python 3 | READY | BETA | 30min | po-2024 |
| 20 | Z3-13b-UnsatCores-MUS-Python.ipynb | Z3-Python-13b — UNSAT cores : le MUS… | Python 3 | READY | BETA | 15min | po-2024 |
| 21 | Z3-14-BitVectors-Overflow-Python.ipynb | 14. Bit-vectors : verifier le debordement… | Python 3 | READY | BETA | 30min | po-2024 |
| 22 | Z3-15-Nested-Arrays-2D-Python.ipynb | 15. Tableaux imbriqués et grilles 2D : carrés… | Python 3 | READY | BETA | 30min | po-2024 |
| 23 | Z3-16-Meal-Planner-Python.ipynb | 16. Meal-Planner déclaratif : du modèle Z3 au plan… | Python 3 | READY | BETA | 30min | po-2024 |
| 24 | Z3-16b-Meal-Planner-Data-External-Python.ipynb | Z3-Python-16b — Meal-Planner : couche de données… | Python 3 | READY | BETA | 30min | po-2024 |
| 25 | Z3-16c-Meal-Planner-Patient-Capstone-Python.ipynb | Z3-Python-16c — Meal-Planner : capstone patient… | Python 3 | READY | BETA | 30min | po-2024 |
| 26 | Z3-16d-Meal-Planner-Convergence-Scale-Python.ipynb | Z3-Python-16d — Convergence à l’échelle :… | Python 3 | READY | BETA | 30min | po-2024 |
| 27 | Z3-16e-Meal-Planner-Optimize-Python.ipynb | Z3-Python-16e — Meal-Planner : l’optimisation (du… | Python 3 | READY | BETA | 30min | po-2024 |
| 28 | Z3-17-Array-Theory-Python.ipynb | Z3-Python 17 — Théorie des tableaux : Select,… | Python 3 | READY | BETA | 15min | po-2024 |
| 29 | Z3-18-Sudoku-Modes-Python.ipynb | Z3-Python 18 — Sudoku 4x4 : comparaison des modes… | Python 3 | READY | BETA | 15min | po-2024 |
| 30 | 01_Linq2Z3_Intro.ipynb | LINQ to Z3 - Résolution de Contraintes Déclarative | .NET (C#) | READY | BETA | 45min | po-2024 |
| 31 | 02_Sudoku_Theorem_vs_Array.ipynb | Sudoku : Théorème Explicite vs Modèle Implicite… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 32 | 03_Sudoku_Modes_Comparison.ipynb | Sudoku 4x4 : comparaison des modes Array et… | .NET (C#) | READY | BETA | 30min | po-2024 |
| 33 | 04_Array_Theory.ipynb | Théorie des Tableaux Z3 — Select, Store et… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 34 | 05_Nested_Arrays_2D.ipynb | Tableaux Imbriqués et Grilles 2D : API Déclarative… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 35 | 06_Meal_Planner_Modelisation.ipynb | Notebook 06 — Meal-Planner declaratif : du modèle… | .NET (C#) | READY | BETA | 1h | po-2024 |
| 36 | 07_Meal_Planner_Data_External.ipynb | 07 — Données réelles & externe : Ciqual × RecipeML… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 37 | 08_Meal_Planner_Patient_Capstone.ipynb | 08 — Capstone hiérarchique : du squelette int[][]… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 38 | 09_Meal_Planner_Convergence_Scale.ipynb | 09 — Convergence à l’échelle : l’encodage décide… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 39 | 10_Witness_Generation_Automata.ipynb | 10 — Générer un témoin depuis A & ~B (fork… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 40 | 11_Job_Shop_Scheduling.ipynb | Notebook 11 — Ordonnancement d’atelier (Job Shop… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 41 | 12_Graph_Coloring_Petersen.ipynb | Notebook 12 - Coloration de graphe : le graphe de… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 42 | 13_Cryptarithmetic_SMT.ipynb | Notebook 13 — Cryptarithmes : l’arithmétique… | .NET (C#) | READY | BETA | 30min | po-2024 |
| 43 | 14_Optimize_MaxSAT.ipynb | Notebook 14 — De SAT à OPT : optimisation et… | .NET (C#) | READY | BETA | 30min | po-2024 |
| 44 | 15_BitVectors_Overflow.ipynb | 15 — Théorie des bit-vectors Z3 : vérifier le… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 45 | 16_RealArithmetic.ipynb | 16 — Arithmétique réelle Z3 : raisonner sur les… | .NET (C#) | READY | DRAFT | 30min | po-2024 |
| 46 | 17_UnsatCores.ipynb | 17 — UNSAT cores Z3 : expliquer l’insatisfiabilité… | .NET (C#) | READY | BETA | 30min | po-2024 |
| 47 | 18_Einsteins_Riddle.ipynb | Notebook 18 - L’enigme d’Einstein : la logique des… | .NET (C#) | READY | BETA | 30min | po-2024 |
SymbolicLearning (27)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | SL-1-LogicalLearning-Csharp.ipynb | SL-1 - Apprentissage Logique : CBH Search et… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 2 | SL-1-LogicalLearning.ipynb | SL-1 - Apprentissage Logique : CBH Search et… | Python 3 | READY | BETA | 45min | po-2024 |
| 3 | SL-10-ActiveAutomataLearning-Csharp.ipynb | SL-10 — Apprentissage Actif d’Automates (L*… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 4 | SL-10-ActiveAutomataLearning.ipynb | SL-10 — Apprentissage Actif d’Automates (L*… | Python 3 | READY | BETA | 45min | po-2024 |
| 5 | SL-11-Capstone-NeuroSymbolic.ipynb | SL-11 — Capstone : un pipeline neuro-symbolique… | Python 3 | READY | BETA | 45min | po-2024 |
| 6 | SL-12-DifferentiableLogicGateNetworks.ipynb | SL-12 : Differentiable Logic Gate Networks | Python (difflogic-sl12) | READY | BETA | 45min | po-2024 |
| 7 | SL-12b-PavlovDLS-Reproduction.ipynb | SL-12b-PavlovDLS-Reproduction — artefact Pavlov… | Python 3 | READY | BETA | 30min | po-2024 |
| 8 | SL-12b-SpectralLogicSynthesis.ipynb | SL-12b : Synthèse logique spectrale — Fourier… | Python 3 | READY | BETA | 45min | po-2024 |
| 9 | SL-13-Discover-TPR.ipynb | SL-13 : DISCOVER léger — diagnostic de structure… | Python 3 | READY | BETA | 30min | po-2024 |
| 10 | SL-13b-TPR-SAE.ipynb | SL-13b : TPR x SAE — deux lectures des mêmes états… | Python 3 | READY | BETA | 30min | po-2024 |
| 11 | SL-14-AIFeynman-Discover-Equations.ipynb | SL-14 — AI Feynman : découvrir des équations | Python 3 | READY | BETA | 30min | po-2024 |
| 12 | SL-15-LearnedConjectures-Solver.ipynb | SL-15 — Conjectures apprises pour un vérificateur… | Python 3 (ipykernel) | READY | BETA | 30min | po-2024 |
| 13 | SL-1b-LogicalLearning-Lean-Native.ipynb | SL-1b — Apprentissage PAC formellement : le lake… | Lean 4 (WSL) | READY | BETA | 45min | po-2024 |
| 14 | SL-2-KnowledgeBasedLearning-Csharp.ipynb | SL-2 - Apprentissage et Connaissance : EBL & RBL… | .NET (C#) | READY | ALPHA | 45min | po-2024 |
| 15 | SL-2-KnowledgeBasedLearning.ipynb | SL-2 — Apprentissage et Connaissance (EBL & RBL) | Python 3 | READY | BETA | 45min | po-2024 |
| 16 | SL-3-RelevanceLearning-Csharp.ipynb | SL-3 — Apprentissage basé sur la pertinence (twin… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 17 | SL-3-RelevanceLearning.ipynb | SL-3 — Apprentissage Base sur la Pertinence (RBL… | Python 3 | READY | BETA | 45min | po-2024 |
| 18 | SL-4-InductiveLogicProgramming-Csharp.ipynb | SL-4 — Programmation Logique Inductive (ILP) —… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 19 | SL-4-InductiveLogicProgramming.ipynb | SL-4 — Programmation Logique Inductive (ILP) | Python 3 (WSL) | READY | BETA | 45min | po-2024 |
| 20 | SL-5-InverseResolution-Csharp.ipynb | SL-5 - Resolution Inverse & ILP (C#) | .NET (C#) | READY | ALPHA | 45min | po-2024 |
| 21 | SL-5-InverseResolution.ipynb | SL-5 — Resolution Inverse et Progol (ILP… | Python 3 | READY | BETA | 30min | po-2024 |
| 22 | SL-6-ModernILP-Csharp.ipynb | SL-6 (C#) : Moteurs ILP modernes — apprendre des… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 23 | SL-6-ModernILP.ipynb | SL-6 — Moteurs ILP modernes : Aleph, Metagol,… | Python 3 (WSL) | READY | BETA | 30min | po-2024 |
| 24 | SL-7-NeuroSymbolic.ipynb | SL-7 : Integration Neuro-Symbolique | Python 3 | READY | BETA | 45min | po-2024 |
| 25 | SL-8-KnowledgeGraphs-ILP-Csharp.ipynb | SL-8 (C#) : ILP Moderne et Knowledge Graphs | .NET (C#) | READY | BETA | 45min | po-2024 |
| 26 | SL-8-KnowledgeGraphs-ILP.ipynb | SL-8 - ILP Moderne et Knowledge Graphs | Python 3 | READY | BETA | 45min | po-2024 |
| 27 | SL-9-LLM-SymbolicLearning.ipynb | SL-9 - LLMs et Apprentissage Symbolique :… | Python 3 | READY | BETA | 45min | po-2024 |
Tweety (39)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Tweety-01-Setup-Python.ipynb | Configuration et Installation TweetyProject | Python 3 | READY | BETA | 45min | po-2024 |
| 2 | Tweety-02-Basic-Logics-CSharp.ipynb | Tweety C# / IKVM - Logiques de Base (Port .NET du… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 3 | Tweety-02-Basic-Logics-Python.ipynb | Logiques de Base - Propositionnelle et Premier… | Python 3 | READY | BETA | 45min | po-2024 |
| 4 | Tweety-02b-Semantics-CSharp.ipynb | Tweety C# / IKVM - Sémantique propositionnelle :… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 5 | Tweety-02c-FOL-CSharp.ipynb | Tweety-2c — Logique du premier ordre en C#/.NET… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 6 | Tweety-02d-FOL-Lab-Lean.ipynb | Tweety-02d — Labo FOL : Tweety répond, Lean… | Python 3 (ipykernel) | READY | BETA | 30min | po-2024 |
| 7 | Tweety-02e-Preuves-Hilbert-Gentzen-Lean.ipynb | Tweety-02e — Calculs de preuve : Hilbert,… | Python 3 (ipykernel) | READY | BETA | 30min | po-2024 |
| 8 | Tweety-02f-Modal-Zoo-Lean-Python.ipynb | Tweety-02f — Le zoo modal : huit systèmes, une… | Python 3 (ipykernel) | READY | BETA | 30min | po-2024 |
| 9 | Tweety-06-Structured-Argumentation-CSharp.ipynb | Tweety-6 — Argumentation structuree (twin C# /… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 10 | Tweety-06-Structured-Argumentation-Python.ipynb | Argumentation Structuree | Python 3 | READY | BETA | 30min | po-2024 |
| 11 | Tweety-07a-Extended-Frameworks-CSharp.ipynb | Tweety-7a : Frameworks d’Argumentation Etendus… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 12 | Tweety-07a-Extended-Frameworks-Python.ipynb | Frameworks d’Argumentation Étendus | Python 3 | READY | BETA | 30min | po-2024 |
| 13 | Tweety-07b-Ranking-Probabilistic-CSharp.ipynb | Tweety-7b - Ranking Probabilistic Conditional… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 14 | Tweety-07b-Ranking-Probabilistic-Python.ipynb | Sémantiques de Classement et Argumentation… | Python 3 | READY | BETA | 30min | po-2024 |
| 15 | Tweety-08-Agent-Dialogues-CSharp.ipynb | Dialogues Multi-Agents Argumentatifs (twin C#) | .NET (C#) | READY | BETA | 45min | po-2024 |
| 16 | Tweety-08-Agent-Dialogues-Python.ipynb | Dialogues Multi-Agents Argumentatifs | Python 3 | READY | BETA | 30min | po-2024 |
| 17 | Tweety-09-Preferences-CSharp.ipynb | Préférences et Théorie du Vote en C# / .NET (port… | .NET (C#) | READY | ALPHA | 30min | po-2024 |
| 18 | Tweety-09-Preferences-Python.ipynb | Préférences et Théorie du Vote | Python 3 | READY | ALPHA | 30min | po-2024 |
| 19 | Tweety-10-MLN-CSharp.ipynb | Tweety-10 — Markov Logic Networks (MLN) en .NET… | .NET (C#) | READY | BETA | 30min | po-2024 |
| 20 | Tweety-10-MLN.ipynb | Tweety-10 — Markov Logic Networks (MLN) | Python 3 | READY | BETA | 30min | po-2024 |
| 21 | Tweety-11-Causal-Csharp.ipynb | Tweety-11 — Inférence causale & do-calculus (twin… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 22 | Tweety-11-Causal.ipynb | Tweety-11 — Raisonnement Causal : du do-calculus… | Python 3 | READY | BETA | 30min | po-2024 |
| 23 | Tweety-12-Grounded-Via-TweetyProject.ipynb | Argumentation Abstraite : Grounded Extension -… | Python 3 | READY | BETA | 30min | po-2024 |
| 24 | Tweety-3-Advanced-Logics-Csharp.ipynb | Tweety-3 — Description Logics en C#/.NET (port… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 25 | Tweety-3-Advanced-Logics.ipynb | Logiques Avancees - DL, Modale, QBF, Conditional | Python 3 | READY | BETA | 45min | po-2024 |
| 26 | Tweety-3-Conditional-Logics-Csharp.ipynb | Tweety-3 — Conditional Logics en C#/.NET (port… | .NET (C#) | READY | BETA | 30min | po-2024 |
| 27 | Tweety-3-Dung-Csharp.ipynb | Tweety-3 — Argumentation abstraite de Dung en… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 28 | Tweety-3-ModalLogic-Csharp.ipynb | Tweety-3 Modal Logic en C#/.NET (port natif IKVM) | .NET (C#) | READY | BETA | 45min | po-2024 |
| 29 | Tweety-3-QBF-Csharp.ipynb | Tweety-3 - Quantified Boolean Formulas en C#/.NET… | .NET (C#) | READY | BETA | 30min | po-2024 |
| 30 | Tweety-3b-Modal-Lab-Lean.ipynb | Tweety-3b — Labo Modal : Kripke répond, Lean… | Python 3 | READY | BETA | 30min | po-2024 |
| 31 | Tweety-4-Aspic-Csharp.ipynb | Tweety-4 — Argumentation structurée ASPIC+ en… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 32 | Tweety-4-Belief-Revision-Csharp.ipynb | Tweety C# / IKVM - Revision de Croyances (Port… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 33 | Tweety-4-Belief-Revision.ipynb | Révision de Croyances et Incohérence | Python 3 | READY | BETA | 30min | po-2024 |
| 34 | Tweety-5-Abstract-Argumentation-Csharp.ipynb | Tweety-5 : Argumentation Abstraite de Dung (C# /… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 35 | Tweety-5-Abstract-Argumentation.ipynb | Argumentation Abstraite (Dung) | Python 3 | READY | BETA | 45min | po-2024 |
| 36 | Tweety-5b-Lean-Argumentation.ipynb | Tweety-5b — Théorie de l’argumentation de Dung… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 37 | Tweety-5d-Stable-Synthesis-Lean.ipynb | Tweety-5d — Synthèse certifiée d’extensions… | Python 3 | READY | BETA | 30min | po-2024 |
| 38 | Tweety-5e-Propositional-Lab-Lean.ipynb | Tweety-5e — Laboratoire propositionnel : validité,… | Python 3 | READY | BETA | 30min | po-2024 |
| 39 | Tweety-IKVM-Init-Probe.ipynb | Tweety .NET - Probe Phase 1 axe 2 : initialisation… | .NET (C#) | READY | BETA | 30min | po-2024 |
QuantConnect (116 notebooks) — DEMO:43, READY:73 | ALPHA:11, BETA:66, DRAFT:38, TEMPLATE:1
kelly_lean (2)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Kelly_companion.ipynb | Le critere de Kelly — compagnon Python du lake… | Python 3 | DEMO | BETA | 30min | po-2026 |
| 2 | Kelly_companion_lean.ipynb | Kelly — compagnon natif (kernel Lean 4) | Lean 4 (WSL) | READY | BETA | 45min | po-2026 |
ML-Training-Pipeline (4)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | ML-Research-Template.ipynb | ML Training Pipeline - Notebook de Recherche | Python 3 | READY | TEMPLATE | 30min | po-2026 |
| 2 | m15_lstm_rv_sc_validation.ipynb | M15 - LSTM RV : entree §C du registre (2e entree… | Python 3 (ipykernel) | READY | DRAFT | 30min | po-2026 |
| 3 | m3_har_asymmetric_semivariance.ipynb | M16 — HAR asymétrique débiaisé : le signal… | Python 3 | READY | BETA | 30min | po-2026 |
| 4 | m4_dlinear_vol_sc_validation.ipynb | M4 - DLinear-vol : entree §C du registre… | Python 3 | READY | DRAFT | 45min | po-2026 |
projects (49)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | quantbook.ipynb | Research QuantBook: Adaptive Asset Allocation | Python 3 | READY | BETA | 45min | po-2026 |
| 2 | quantbook.ipynb | Research QuantBook: All-Weather Portfolio | Python 3 | READY | BETA | 30min | po-2026 |
| 3 | quantbook.ipynb | Alpha Correlation Analysis | Python 3 | READY | BETA | 45min | po-2026 |
| 4 | quantbook.ipynb | Research QuantBook: BTC ML Enhanced | Python 3 | READY | BETA | 45min | po-2026 |
| 5 | Research.ipynb | Initializing environment | .NET (C#) | DEMO | DRAFT | 1h30 | po-2026 |
| 6 | quantbook.ipynb | Research QuantBook: Multi-Channel ZigZag Crypto | Python 3 | READY | BETA | 45min | po-2026 |
| 7 | quantbook.ipynb | Research QuantBook: Deep Learning LSTM pour SPY | Foundation-Py-Default | READY | BETA | 45min | po-2026 |
| 8 | quantbook.ipynb | Research QuantBook: DualMomentum (Antonacci) | Python 3 | READY | BETA | 30min | po-2026 |
| 9 | quantbook.ipynb | Research QuantBook: Dual Momentum No TLT | Python 3 | READY | BETA | 45min | po-2026 |
| 10 | quantbook.ipynb | Research QuantBook: EMA-Cross Alpha Model | Python 3 | READY | BETA | 30min | po-2026 |
| 11 | quantbook.ipynb | Research QuantBook: EMA Cross Equity | Python 3 | READY | BETA | 45min | po-2026 |
| 12 | quantbook.ipynb | Research QuantBook: EMA Crossover SPY Index | Python 3 | READY | BETA | 45min | po-2026 |
| 13 | quantbook.ipynb | Research QuantBook: Multi-Stock EMA Crossover | Python 3 | READY | BETA | 45min | po-2026 |
| 14 | quantbook.ipynb | Research QuantBook: ETF Pairs Trading | Python 3 | READY | BETA | 45min | po-2026 |
| 15 | quantbook.ipynb | Research QuantBook: Fama-French Factor ETF… | Python 3 | READY | BETA | 45min | po-2026 |
| 16 | quantbook.ipynb | Research QuantBook: ForexCarry (G10 FX Momentum) | Python 3 | READY | BETA | 45min | po-2026 |
| 17 | quantbook.ipynb | Research QuantBook: Framework Composite EMA-Trend | Python 3 | READY | BETA | 30min | po-2026 |
| 18 | quantbook.ipynb | Research QuantBook: Framework Composite FamaFrench… | Python 3 | READY | BETA | 30min | po-2026 |
| 19 | quantbook.ipynb | Research QuantBook: Framework Composite Momentum +… | Python 3 | READY | BETA | 30min | po-2026 |
| 20 | quantbook.ipynb | Framework Composite TrendWeather - Research | Python 3 | READY | BETA | 45min | po-2026 |
| 21 | quantbook.ipynb | Research QuantBook: FuturesTrend (Donchian… | Python 3 | READY | BETA | 30min | po-2026 |
| 22 | quantbook.ipynb | Research QuantBook: ML Classification… | Python 3 | READY | BETA | 45min | po-2026 |
| 23 | quantbook.ipynb | ML Deep Learning - LSTM/GRU pour Trading | Python 3 | READY | ALPHA | 45min | po-2026 |
| 24 | quantbook.ipynb | Research QuantBook: ML-Enhanced Pairs Trading | Python 3 | READY | BETA | 45min | po-2026 |
| 25 | quantbook.ipynb | Research QuantBook: ML Ensemble | Python 3 | READY | BETA | 45min | po-2026 |
| 26 | quantbook.ipynb | Research QuantBook: ML Feature Engineering | Python 3 | READY | BETA | 45min | po-2026 |
| 27 | quantbook.ipynb | ML Random Forest - Classification pour Trading | Python 3 | READY | ALPHA | 45min | po-2026 |
| 28 | quantbook.ipynb | Research QuantBook: ML Regression | Python 3 | READY | BETA | 45min | po-2026 |
| 29 | quantbook.ipynb | ML SVM - Support Vector Machine pour Trading | Python 3 | READY | ALPHA | 45min | po-2026 |
| 30 | quantbook.ipynb | ML Text Classification for Trading | Python 3 | READY | ALPHA | 45min | po-2026 |
| 31 | quantbook.ipynb | ML XGBoost - Gradient Boosting pour Trading | Python 3 | READY | BETA | 45min | po-2026 |
| 32 | quantbook.ipynb | Research QuantBook: Mean Reversion (Sector ETFs) | Python 3 | READY | BETA | 30min | po-2026 |
| 33 | quantbook.ipynb | Research QuantBook: MomentumStrategy (Sector ETF… | Python 3 | READY | BETA | 30min | po-2026 |
| 34 | quantbook.ipynb | Research QuantBook: Equity Multi-Layer EMA + ML… | Python 3 | READY | BETA | 45min | po-2026 |
| 35 | quantbook.ipynb | Research QuantBook: Option Wheel Strategy | Python 3 | READY | BETA | 45min | po-2026 |
| 36 | quantbook.ipynb | Research QuantBook: Options Wheel Tech Stocks | Python 3 | READY | BETA | 30min | po-2026 |
| 37 | quantbook.ipynb | Research QuantBook: Covered Call Strategy | Python 3 | READY | BETA | 45min | po-2026 |
| 38 | quantbook.ipynb | Research QuantBook: PairsTrading (Statistical… | Python 3 | READY | BETA | 30min | po-2026 |
| 39 | quantbook.ipynb | Portfolio Hybride IBKR (50%) + Binance (50%) —… | Python 3 | READY | DRAFT | 30min | po-2026 |
| 40 | quantbook.ipynb | Research QuantBook: RL Portfolio Allocation | Python 3 | READY | BETA | 45min | po-2026 |
| 41 | quantbook.ipynb | Research QuantBook: RegimeSwitching Alpha Model | Python 3 | READY | BETA | 45min | po-2026 |
| 42 | runner.ipynb | runner | Python 3 | DEMO | DRAFT | 15min | po-2026 |
| 43 | quantbook.ipynb | Research QuantBook: RiskParity (Inverse-Volatility… | Python 3 | READY | BETA | 30min | po-2026 |
| 44 | quantbook.ipynb | Research QuantBook: Sector-Momentum (Dual… | Python 3 | READY | BETA | 30min | po-2026 |
| 45 | quantbook.ipynb | Research QuantBook: Trend Following Competition | Python 3 | READY | BETA | 30min | po-2026 |
| 46 | quantbook.ipynb | Research QuantBook: TrendStocks Alpha Model | Python 3 | READY | BETA | 30min | po-2026 |
| 47 | quantbook.ipynb | Research QuantBook: TurnOfMonth (Calendar Anomaly) | Python 3 | READY | BETA | 30min | po-2026 |
| 48 | quantbook.ipynb | Research QuantBook: VIX-TermStructure (Short… | Python 3 | READY | BETA | 45min | po-2026 |
| 49 | qc_top4_oos_extension.ipynb | Top-4 Sharpe > 0.5 Stratégies: OOS Deep-Dive… | Python 3 | READY | BETA | 15min | po-2026 |
Python (61)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | QC-Py-01-Setup.ipynb | QC-Py-01 : Configuration et Premier Backtest… | Python 3 | DEMO | BETA | 30min | po-2026 |
| 2 | QC-Py-02-Platform-Fundamentals.ipynb | QC-Py-02 : QuantConnect Platform Fundamentals -… | Python 3 | DEMO | DRAFT | 30min | po-2026 |
| 3 | QC-Py-03-Data-Management.ipynb | QC-Py-03 - Data Management in QuantConnect | Python 3 | DEMO | DRAFT | 45min | po-2026 |
| 4 | QC-Py-04-Research-Workflow.ipynb | Objectifs d’Apprentissage | Python 3 | DEMO | BETA | 1h | po-2026 |
| 5 | QC-Py-05-Universe-Selection.ipynb | Objectifs d’Apprentissage | Python 3 | DEMO | DRAFT | 45min | po-2026 |
| 6 | QC-Py-05b-FScore-Piotroski.ipynb | QC-Py-05b - F-Score de Piotroski : l’article, le… | Python 3 | READY | BETA | 30min | po-2026 |
| 7 | QC-Py-06-Options-Trading.ipynb | QC-Py-06 : Options Trading dans QuantConnect | Python 3 | DEMO | DRAFT | 45min | po-2026 |
| 8 | QC-Py-06b-Derivatives-Valuation-From-Scratch.ipynb | QC-Py-06b : Valoriser un dérivé — trois moteurs,… | Python 3 | DEMO | DRAFT | 45min | po-2026 |
| 9 | QC-Py-07-Futures-Forex.ipynb | QC-Py-07 : Futures et Forex Trading dans… | Python 3 | DEMO | DRAFT | 45min | po-2026 |
| 10 | QC-Py-08-Multi-Asset-Strategies.ipynb | QC-Py-08 - Multi-Asset Portfolio Stratégies | Python 3 | DEMO | DRAFT | 1h | po-2026 |
| 11 | QC-Py-09-Order-Types.ipynb | QC-Py-09 : Types d’Ordres et Order Management dans… | Python 3 | DEMO | DRAFT | 1h | po-2026 |
| 12 | QC-Py-10-Risk-Portfolio-Management.ipynb | Objectifs d’Apprentissage | Python 3 | DEMO | DRAFT | 1h | po-2026 |
| 13 | QC-Py-11-Technical-Indicators.ipynb | QC-Py-11 - Indicateurs Techniques dans… | Python 3 | DEMO | DRAFT | 45min | po-2026 |
| 14 | QC-Py-12-Backtesting-Analysis.ipynb | QC-Py-12 - Backtesting et Analyse de Performance | Python 3 | DEMO | DRAFT | 1h30 | po-2026 |
| 15 | QC-Py-12b-Backtest-Validity.ipynb | QC-Py-12b - Validité du backtest et signification… | Python 3 | READY | DRAFT | 45min | po-2026 |
| 16 | QC-Py-13-Alpha-Models.ipynb | QC-Py-13 - Alpha Models et Algorithm Framework | Python 3 | DEMO | DRAFT | 1h | po-2026 |
| 17 | QC-Py-14-Portfolio-Construction-Execution.ipynb | QC-Py-14 - Portfolio Construction et Exécution… | Python 3 | DEMO | DRAFT | 1h | po-2026 |
| 18 | QC-Py-14b-Liquidity-Execution-Costs.ipynb | QC-Py-14b - Liquidité et coûts d’exécution : ce… | Python 3 | DEMO | BETA | 45min | po-2026 |
| 19 | QC-Py-15-Parameter-Optimization.ipynb | Objectifs d’Apprentissage | Python 3 | DEMO | DRAFT | 1h30 | po-2026 |
| 20 | QC-Py-16-Alternative-Data.ipynb | QC-Py-16 - Alternative Data dans QuantConnect | Python 3 | DEMO | DRAFT | 45min | po-2026 |
| 21 | QC-Py-17-Sentiment-Analysis.ipynb | Objectifs d’Apprentissage | Python 3 | DEMO | DRAFT | 1h | po-2026 |
| 22 | QC-Py-18-ML-Features-Engineering.ipynb | QC-Py-18 - Feature Engineering pour Machine… | Python 3 | READY | BETA | 1h | po-2026 |
| 23 | QC-Py-19-ML-Supervised-Classification.ipynb | Objectifs d’Apprentissage | Python 3 | READY | BETA | 1h | po-2026 |
| 24 | QC-Py-20-ML-Regression-Prediction.ipynb | Objectifs d’Apprentissage | Python 3 | READY | DRAFT | 1h | po-2026 |
| 25 | QC-Py-21-Portfolio-Optimization-ML.ipynb | QC-Py-21 - Portfolio Optimization avec Machine… | Python 3 | READY | DRAFT | 1h | po-2026 |
| 26 | QC-Py-22-Deep-Learning-LSTM.ipynb | Objectifs d’Apprentissage | Python 3 | READY | DRAFT | 1h | po-2026 |
| 27 | QC-Py-23-State-Space-Models.ipynb | QC-Py-23 — State Space Models pour Séries… | Python 3 | READY | DRAFT | 45min | po-2026 |
| 28 | QC-Py-23b-PatchTST-iTransformer.ipynb | QC-Py-23b - PatchTST et iTransformer pour… | Python 3 | READY | BETA | 45min | po-2026 |
| 29 | QC-Py-23c-TimesFM-Foundation-Models.ipynb | QC-Py-23c — Modèles de fondation pour séries… | Python 3 | READY | BETA | 45min | po-2026 |
| 30 | QC-Py-24-Autoencoders-Anomaly.ipynb | QC-Py-24 - Modèles Génératifs pour Anomaly… | Python 3 | READY | DRAFT | 1h | po-2026 |
| 31 | QC-Py-25-Reinforcement-Learning.ipynb | Objectifs d’Apprentissage | Python 3 | DEMO | DRAFT | 45min | po-2026 |
| 32 | QC-Py-26-LLM-Trading-Signals.ipynb | Objectifs d’Apprentissage | Python 3 | READY | DRAFT | 45min | po-2026 |
| 33 | QC-Py-27-Production-Deployment.ipynb | QC-Py-27 - Production Deployment | Python 3 | DEMO | DRAFT | 45min | po-2026 |
| 34 | QC-Py-28-Market-Regime-Detection.ipynb | QC-Py-28 - Market Regime Detection | Python 3 | DEMO | DRAFT | 1h | po-2026 |
| 35 | QC-Py-28b-Macro-Cycle-Regimes.ipynb | QC-Py-28b - Macro et régimes : du cycle économique… | Python 3 | DEMO | ALPHA | 30min | po-2026 |
| 36 | QC-Py-28c-Factor-Preprocessing-Regime.ipynb | QC-Py-28c - Prétraitement de facteurs pour la… | Python 3 | READY | BETA | 45min | po-2026 |
| 37 | QC-Py-29-Derivatives-Valuation.ipynb | QC-Py-29 - Valorisation d’un dérivé : trois… | Python 3 | READY | BETA | 45min | po-2026 |
| 38 | QC-Py-30-LSTM-Training.ipynb | QC-Py-30 - LSTM Training Multi-Asset (GPU) | Python 3 | READY | BETA | 1h | po-2026 |
| 39 | QC-Py-31-Transformer-Training.ipynb | QC-Py-31 - Transformer Encoder Multi-Asset (GPU) | Python 3 | READY | BETA | 45min | po-2026 |
| 40 | QC-Py-32-RL-DQN-Trading.ipynb | QC-Py-32 - Reinforcement Learning DQN pour le… | Python 3 | READY | BETA | 45min | po-2026 |
| 41 | QC-Py-33-RL-PPO-Trading.ipynb | QC-Py-33 - Reinforcement Learning PPO pour le… | Python 3 | DEMO | BETA | 45min | po-2026 |
| 42 | QC-Py-34-RL-SAC-A2C-Trading.ipynb | QC-Py-34 - SAC et A2C : Comparaison d’Agents RL… | Python 3 | READY | BETA | 45min | po-2026 |
| 43 | QC-Py-35-RL-Portfolio-Construction.ipynb | QC-Py-35 - Reinforcement Learning pour la… | Python 3 | DEMO | ALPHA | 30min | po-2026 |
| 44 | QC-Py-40-PaperTrading-Binance.ipynb | QC-Py-40 : Paper Trading Binance - Mean Reversion… | Python 3 | DEMO | BETA | 45min | po-2026 |
| 45 | QC-Py-41-PaperTrading-IBKR.ipynb | QC-Py-41 : Paper Trading IBKR - SP500 Momentum | Python 3 | DEMO | BETA | 45min | po-2026 |
| 46 | QC-Py-Cloud-01-FinBERT-Sentiment.ipynb | QC-Py-Cloud-01 : Analyse de Sentiment FinBERT sur… | Python 3 | DEMO | ALPHA | 30min | po-2026 |
| 47 | QC-Py-Cloud-02-ML-Classification.ipynb | QC-Py-Cloud-02 : Classification de Texte et… | Python 3 | DEMO | ALPHA | 30min | po-2026 |
| 48 | QC-Py-Cloud-03-Risk-Parity.ipynb | QC-Py-Cloud-03 : Parite de Risque (Risk Parity) | Python 3 | READY | BETA | 30min | po-2026 |
| 49 | QC-Py-Cloud-03b-RiskParity-Composite.ipynb | QC-Py-Cloud-03b — Risk Parity Composite… | Python 3 | DEMO | DRAFT | 15min | po-2026 |
| 50 | QC-Py-Cloud-04-MeanReversion.ipynb | QC-Py-Cloud-04 — Mean Reversion on Sector ETFs | Python 3 | DEMO | DRAFT | 15min | po-2026 |
| 51 | QC-Py-Cloud-05-MLP-Forecasting.ipynb | QC-Py-Cloud-05 : Prevision par Reseau de Neurones… | Python 3 | DEMO | ALPHA | 30min | po-2026 |
| 52 | QC-Py-Cloud-06-PCA-StatArb.ipynb | QC-Py-Cloud-06 — PCA Statistical Arbitrage Mean… | Python 3 | DEMO | DRAFT | 15min | po-2026 |
| 53 | QC-Py-Cloud-07-TemporalCNN.ipynb | QC-Py-Cloud-07 — Temporal CNN Direction Prediction | Python 3 | DEMO | DRAFT | 15min | po-2026 |
| 54 | QC-Py-Cloud-08-ValueFactor-ZScore.ipynb | Value Factor Z-Score — Sélection multi-facteurs… | Python 3 | DEMO | BETA | 15min | po-2026 |
| 55 | QC-Py-Cloud-09-OptionWheel.ipynb | Option Wheel — Le paradoxe du win-rate eleve | Python 3 | DEMO | BETA | 15min | po-2026 |
| 56 | QC-Py-Cloud-10-RL-DQN-Trading.ipynb | QC-Py-Cloud-10 : Reinforcement Learning - DQN… | Python 3 | DEMO | ALPHA | 30min | po-2026 |
| 57 | QC-Py-Cloud-11-RegimeSwitching.ipynb | QC-Py-Cloud-11 — Regime Switching : Momentum in… | Python 3 | DEMO | DRAFT | 15min | po-2026 |
| 58 | QC-Py-Cloud-12-SectorRotation-Momentum.ipynb | QC-Py-Cloud-12 — Sector Rotation & Multi-Asset… | Python 3 | DEMO | DRAFT | 15min | po-2026 |
| 59 | QC-Py-Cloud-13-VolTargeting.ipynb | QC-Py-Cloud-13 – Volatility Targeting : Risk… | Python 3 | DEMO | DRAFT | 15min | po-2026 |
| 60 | QC-Py-Cloud-14-DualMomentum.ipynb | QC-Py-Cloud-14 — Dual Momentum : Asset Sélection… | Python 3 | READY | BETA | 15min | po-2026 |
| 61 | QC-Py-Dataset-Workflow.ipynb | Workflow : Téléchargement et gestion des datasets | Python 3 | READY | ALPHA | 45min | po-2026 |
GameTheory (109 notebooks) — DEMO:1, READY:108 | ALPHA:5, BETA:100, DRAFT:4
Racine (99)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | GameTheory-01-Setup-Python.ipynb | GameTheory-01-Setup-Python | Python 3 | READY | BETA | 45min | po-2024 |
| 2 | GameTheory-02-NormalForm-CSharp.ipynb | GameTheory-2 : Jeux sous forme normale (C# / .NET)… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 3 | GameTheory-02-NormalForm-Part2-CSharp.ipynb | GameTheory-2 (Part 2) : Support Enumeration —… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 4 | GameTheory-02-NormalForm-Part2-Python.ipynb | GameTheory-2 (Part 2) : Support Enumeration —… | Python 3 | READY | BETA | 30min | po-2024 |
| 5 | GameTheory-02-NormalForm-Python.ipynb | GameTheory-02-NormalForm-Python | Python 3 | READY | BETA | 45min | po-2024 |
| 6 | GameTheory-02b-Lean-Definitions-Lean.ipynb | GameTheory 2b - Formalisation Lean : Definitions… | Lean 4 (WSL) | READY | BETA | 45min | po-2024 |
| 7 | GameTheory-02c-Travelers-Dilemma-CSharp.ipynb | GameTheory-02c : Traveler’s Dilemma en C# — le… | .NET (C#) | READY | BETA | 30min | po-2024 |
| 8 | GameTheory-02c-Travelers-Dilemma-Python.ipynb | GameTheory-02c-Travelers-Dilemma-Python | Python 3 | READY | BETA | 30min | po-2024 |
| 9 | GameTheory-03-Topology2x2-CSharp.ipynb | GameTheory-3 : Topologie des Jeux 2×2 — Twin C#… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 10 | GameTheory-03-Topology2x2-Python.ipynb | GameTheory-03-Topology2x2-Python | Python 3 | READY | BETA | 45min | po-2024 |
| 11 | GameTheory-03b-Chemins-de-Swaps-Lean-Python.ipynb | GameTheory-3a — Chemins de swaps : à quelle… | Python 3 | READY | BETA | 30min | po-2024 |
| 12 | GameTheory-03c-Chambres-et-Murs-Python.ipynb | GameTheory 3b : Chambres, murs, codimension — les… | Python 3 (ipykernel) | READY | BETA | 30min | po-2024 |
| 13 | GameTheory-03d-Le-Joueur-LLM-Python.ipynb | GameTheory-3c — Le joueur LLM dans le tableau… | Python 3 | DEMO | BETA | 30min | po-2024 |
| 14 | GameTheory-03e-Plan-de-deformation-Python.ipynb | GameTheory-03d — Biens publics non-lineaires :… | Python 3 | READY | BETA | 30min | po-2024 |
| 15 | GameTheory-03f-Meta-Actions-Tarifees-Python.ipynb | GameTheory 3e : Meta-Actions Tarifees et Parcours… | Python 3 | READY | BETA | 45min | po-2024 |
| 16 | GameTheory-03g-Deux-Especes-de-Fleches-Python.ipynb | GameTheory-03h — Deux espèces de flèches : quand… | Python 3 | READY | BETA | 30min | po-2024 |
| 17 | GameTheory-04-NashEquilibrium-CSharp.ipynb | GameTheory-04-NashEquilibrium-Python (C#) | .NET (C#) | READY | BETA | 45min | po-2024 |
| 18 | GameTheory-04-NashEquilibrium-Python.ipynb | GameTheory-04-NashEquilibrium-Python | Python 3 | READY | BETA | 30min | po-2024 |
| 19 | GameTheory-04b-Lean-NashExistence-Lean.ipynb | GameTheory 4b - Theoreme d’Existence de Nash… | Lean 4 (WSL) | READY | BETA | 45min | po-2024 |
| 20 | GameTheory-04c-NashExistence-CSharp.ipynb | GameTheory 4c - Théorème d’Existence de Nash (C#) | .NET (C#) | READY | ALPHA | 45min | po-2024 |
| 21 | GameTheory-04c-NashExistence-Python.ipynb | GameTheory 4c - Theoreme d’Existence de Nash… | Python 3 | READY | BETA | 45min | po-2024 |
| 22 | GameTheory-04d-Marchandage-Asymetrique-Python.ipynb | GameTheory-04d-Marchandage-Asymetrique-Python | Python 3 | READY | ALPHA | 30min | po-2024 |
| 23 | GameTheory-04e-Reflective-Oracles-Python.ipynb | GameTheory 04e — Oracles réflexifs, décision… | Python 3 | READY | BETA | 45min | po-2024 |
| 24 | GameTheory-04f-Theories-Decision-Predicteur-Python.ipynb | GameTheory 04f — Théories de la décision face à un… | Python 3 | READY | BETA | 45min | po-2024 |
| 25 | GameTheory-05-ZeroSum-Minimax-CSharp.ipynb | GameTheory-05-ZeroSum-Minimax-Python (Twin C#) | .NET (C#) | READY | BETA | 45min | po-2024 |
| 26 | GameTheory-05-ZeroSum-Minimax-Python.ipynb | GameTheory-05-ZeroSum-Minimax-Python | Python 3 | READY | BETA | 30min | po-2024 |
| 27 | GameTheory-05b-Lean-Minimax-Lean.ipynb | GameTheory-5b — Théorème minimax de von Neumann… | Lean 4 (WSL) | READY | BETA | 15min | po-2024 |
| 28 | GameTheory-06-EvolutionTrust-CSharp.ipynb | GameTheory-6 : Évolution et Confiance — Twin C#… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 29 | GameTheory-06-EvolutionTrust-Python.ipynb | GameTheory-06-EvolutionTrust-Python | Python 3 | READY | BETA | 45min | po-2024 |
| 30 | GameTheory-06b-Lean-RepeatedGames-Lean-Python.ipynb | GameTheory-6b — Jeux répétés en Lean : le lake… | Python 3 | READY | DRAFT | 30min | po-2024 |
| 31 | GameTheory-06c-RepeatedGames-FolkTheorem-CSharp.ipynb | GameTheory-6c (C#) : Jeux Répétés et Théorème Folk | .NET (C#) | READY | BETA | 45min | po-2024 |
| 32 | GameTheory-06c-RepeatedGames-FolkTheorem-Python.ipynb | GameTheory-6c : Jeux Répétés et Théorème Folk… | Python 3 | READY | BETA | 30min | po-2024 |
| 33 | GameTheory-06d-Sympathie-vs-Engagement-Python.ipynb | GameTheory-06d : Sympathie contre Engagement — la… | Python 3 | READY | BETA | 30min | po-2024 |
| 34 | GameTheory-06e-Open-Source-Game-Theory-Python.ipynb | GameTheory-06e : Transparence des programmes et… | Python 3 (ipykernel) | READY | ALPHA | 15min | po-2024 |
| 35 | GameTheory-06f-Bounded-Agents-Lean.ipynb | GameTheory-06g — Agents à budget explicite… | Lean (WSL) | READY | BETA | 30min | po-2024 |
| 36 | GameTheory-06f-Bounded-Agents-Python.ipynb | Agents-programmes a budget explicite - compagnon… | Python 3 | READY | DRAFT | 30min | po-2024 |
| 37 | GameTheory-06g-Simulation-Based-Program-Equilibria-Python.ipynb | GameTheory-06g — Équilibres de jeux-programmes… | Python 3 | READY | BETA | 30min | po-2024 |
| 38 | GameTheory-06h-Transparent-Institutions-Python.ipynb | GameTheory-06h — Programmes transparents comme… | Python 3 | READY | BETA | 45min | po-2024 |
| 39 | GameTheory-06i-Ensembles-Limites-Poincare-Bendixson-Python.ipynb | GameTheory-06i — Ensembles limites :… | Python 3 | READY | BETA | 30min | po-2024 |
| 40 | GameTheory-06j-Bounded-Proofs-Reasoning-Costs-Python.ipynb | GameTheory-06f — Preuves bornees et cout du… | Python 3 | READY | BETA | 30min | po-2024 |
| 41 | GameTheory-07-ExtensiveForm-CSharp.ipynb | GameTheory-07-ExtensiveForm-Python (Twin C#) | .NET (C#) | READY | BETA | 45min | po-2024 |
| 42 | GameTheory-07-ExtensiveForm-Python.ipynb | GameTheory-07-ExtensiveForm-Python | Python 3 | READY | BETA | 45min | po-2024 |
| 43 | GameTheory-08-CombinatorialGames-CSharp.ipynb | GameTheory 8 - Jeux Combinatoires (Twin C#) | .NET (C#) | READY | BETA | 45min | po-2024 |
| 44 | GameTheory-08-CombinatorialGames-Python.ipynb | GameTheory 8 - Jeux Combinatoires | Python 3 | READY | BETA | 30min | po-2024 |
| 45 | GameTheory-08b-Lean-CombinatorialGames-Lean.ipynb | GameTheory 8b - Jeux Combinatoires en Lean | Lean 4 (WSL) | READY | BETA | 15min | po-2024 |
| 46 | GameTheory-08c-CombinatorialGames-CSharp.ipynb | GameTheory 8c - Jeux Combinatoires :… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 47 | GameTheory-08c-CombinatorialGames-Python.ipynb | GameTheory 8c - Jeux Combinatoires :… | Python 3 | READY | BETA | 30min | po-2024 |
| 48 | GameTheory-08d-Lean-CGT-Lean.ipynb | GameTheory 8d - Combinatorial Games natif : le… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 49 | GameTheory-09-BackwardInduction-CSharp.ipynb | GameTheory-09-BackwardInduction-Python (C#) | .NET (C#) | READY | BETA | 45min | po-2024 |
| 50 | GameTheory-09-BackwardInduction-Python.ipynb | GameTheory-09-BackwardInduction-Python | Python 3 | READY | BETA | 45min | po-2024 |
| 51 | GameTheory-09b-Commitment-Stackelberg-Python.ipynb | Stackelberg : la performativité sans mystère | Python 3 | READY | BETA | 30min | po-2024 |
| 52 | GameTheory-09c-Stackelberg-SecurityGame-Python.ipynb | GameTheory-09c : Stackelberg Security Game —… | Python 3 | READY | BETA | 15min | po-2024 |
| 53 | GameTheory-10-ForwardInduction-SPE-CSharp.ipynb | GameTheory-10 — Équilibres Parfaits de Sous-Jeux… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 54 | GameTheory-10-ForwardInduction-SPE-Python.ipynb | GameTheory-10-ForwardInduction-SPE-Python | Python 3 | READY | BETA | 45min | po-2024 |
| 55 | GameTheory-11-BayesianGames-CSharp.ipynb | GameTheory-11-BayesianGames-CSharp | .NET (C#) | READY | BETA | 45min | po-2024 |
| 56 | GameTheory-11-BayesianGames-Python.ipynb | GameTheory-11-BayesianGames-Python | Python 3 | READY | BETA | 45min | po-2024 |
| 57 | GameTheory-11b-Lean-BayesianGamesExt-Lean.ipynb | GameTheory-11b — Jeux Bayésiens en Lean 4… | Lean 4 (WSL) | READY | BETA | 45min | po-2024 |
| 58 | GameTheory-12-ReputationGames-CSharp.ipynb | GameTheory-12 — Jeux de Réputation (twin C# du… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 59 | GameTheory-12-ReputationGames-Python.ipynb | GameTheory-12-ReputationGames-Python | Python 3 | READY | BETA | 30min | po-2024 |
| 60 | GameTheory-13-ImperfectInfo-CFR-CSharp.ipynb | GameTheory-13 : Jeux a Information Imparfaite et… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 61 | GameTheory-13-ImperfectInfo-CFR-Python.ipynb | GameTheory-13 : Jeux a Information Imparfaite et… | Python (GameTheory WSL +… | READY | BETA | 1h | po-2024 |
| 62 | GameTheory-13b-Safe-Subgame-Solving-Python.ipynb | GameTheory-13b : Safe Subgame Solving – quand le… | Python (coursia-ml-training) | READY | BETA | 30min | po-2024 |
| 63 | GameTheory-13c-Safe-Subgame-Solving-CSharp.ipynb | GameTheory-13c : Safe Subgame Solving en C# — le… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 64 | GameTheory-13d-Optimistic-CFR-Python.ipynb | GameTheory-13d : Optimistic Counterfactual Regret… | Python 3 | READY | BETA | 15min | po-2024 |
| 65 | GameTheory-14-DifferentialGames-CSharp.ipynb | GameTheory-14 : Jeux Differentiels et Equilibres… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 66 | GameTheory-14-DifferentialGames-Python.ipynb | GameTheory-14 : Jeux Differentiels et Equilibres… | Python 3 | READY | BETA | 45min | po-2024 |
| 67 | GameTheory-15-CooperativeGames-CSharp.ipynb | GameTheory-15 — Jeux Coopératifs (Twin C#) | .NET (C#) | READY | BETA | 1h | po-2024 |
| 68 | GameTheory-15-CooperativeGames-Python.ipynb | GameTheory-15-CooperativeGames-Python | Python 3 (ipykernel) | READY | BETA | 1h | po-2024 |
| 69 | GameTheory-15b-Lean-CooperativeGames-Lean.ipynb | GameTheory 15b - Jeux Cooperatifs en Lean :… | Lean 4 (WSL) | READY | BETA | 45min | po-2024 |
| 70 | GameTheory-15c-CooperativeGames-CSharp.ipynb | GameTheory 15c - Jeux Cooperatifs (C# / .NET) | .NET (C#) | READY | BETA | 45min | po-2024 |
| 71 | GameTheory-15c-CooperativeGames-Python.ipynb | GameTheory 15c - Jeux Cooperatifs Lean (Python) | Python (coursia-ml-training) | READY | BETA | 45min | po-2024 |
| 72 | GameTheory-15d-Mobius-Coalitions-Lean-Python.ipynb | GameTheory 15d - La decomposition de Mobius sur le… | Python 3 | READY | BETA | 30min | po-2024 |
| 73 | GameTheory-15e-Coalition-Power-SMT-Python.ipynb | GameTheory-15e — Pouvoir coalitionnel : calcul,… | Python 3 | READY | BETA | 30min | po-2024 |
| 74 | GameTheory-15f-Shapley-Groupes-Python.ipynb | GameTheory 15f - Valeur de Shapley de groupe :… | Python 3 | READY | BETA | 45min | po-2024 |
| 75 | GameTheory-15g-AssistanceGames-2026-Python.ipynb | GameTheory 15g - Assistance Games (résultat 2026) | Python 3 (c820) | READY | BETA | 30min | po-2024 |
| 76 | GameTheory-16-MechanismDesign-CSharp.ipynb | GameTheory-16-MechanismDesign-Python (C#) | .NET (C#) | READY | BETA | 30min | po-2024 |
| 77 | GameTheory-16-MechanismDesign-Python.ipynb | GameTheory-16 : Théorie des Mécanismes et Principe… | Python 3 | READY | BETA | 45min | po-2024 |
| 78 | GameTheory-16b-Automated-Mechanism-Design-Python.ipynb | GameTheory-16b : Automated Mechanism Design (AMD) | Python 3 | READY | BETA | 15min | po-2024 |
| 79 | GameTheory-16c-Extraction-de-Revenu-DSIC-IR-Python.ipynb | GameTheory-16c : La dimension paiement que le… | Python 3 | READY | BETA | 15min | po-2024 |
| 80 | GameTheory-16d-Echange-de-Reins-Lean-Python.ipynb | GameTheory-16d — L’echange de reins : de la valeur… | Python 3 | READY | BETA | 30min | po-2024 |
| 81 | GameTheory-16e-LLM-Players-Othman-Sandholm-Python.ipynb | GameTheory-16e : Pilote — joueurs LLM hétérogènes… | Python 3 | READY | BETA | 45min | po-2024 |
| 82 | GameTheory-16f-Lean-Assignment-Lean.ipynb | GameTheory 23b — Le lake assignment_lean par son… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 83 | GameTheory-16f-Munkres-Assignment-Python.ipynb | GameTheory-23 — L’algorithme de Kuhn-Munkres :… | Python 3 | READY | BETA | 30min | po-2024 |
| 84 | GameTheory-17-MultiAgent-RL-CSharp.ipynb | GameTheory-17 (C#) : Multi-Agent Reinforcement… | .NET (C#) | READY | BETA | 45min | po-2024 |
| 85 | GameTheory-17-MultiAgent-RL-Python.ipynb | GameTheory-17 : Apprentissage par Renforcement… | Python (GameTheory WSL +… | READY | BETA | 30min | po-2024 |
| 86 | GameTheory-17b-Asymmetric-Information-Python.ipynb | Information asymétrique : types privés,… | Python 3 | READY | BETA | 30min | po-2024 |
| 87 | GameTheory-17c-Lean-Lemons-Certificat-Lean.ipynb | Le marché des lemons : le certificat formel… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 88 | GameTheory-17d-Lean-Screening-Signaling-Lean.ipynb | Screening, signal et anticipation : les trois… | Lean 4 (WSL) | READY | BETA | 30min | po-2024 |
| 89 | GameTheory-17e-Bayesian-Persuasion-Python.ipynb | GameTheory-25 — Persuasion bayésienne :… | Python 3 | READY | DRAFT | 30min | po-2024 |
| 90 | GameTheory-17f-Market-to-Balance-Sheet-Python.ipynb | Du marché au bilan : le pont théorie des jeux… | Python 3 | READY | BETA | 30min | po-2024 |
| 91 | GameTheory-18-Open-Games-et-Lentilles-Python.ipynb | GameTheory-18 : Open Games et Lentilles – la… | Python 3 (ipykernel) | READY | BETA | 30min | po-2024 |
| 92 | GameTheory-18b-Casser-la-Composition-Python.ipynb | GameTheory-18b : Casser la composition — où la… | Python 3 | READY | BETA | 30min | po-2024 |
| 93 | GameTheory-18c-Humour-Banc-Python.ipynb | GameTheory-24 : Banc de calibration — humour,… | Python 3 (ipykernel) | READY | BETA | 1h | po-2024 |
| 94 | GameTheory-19-Abstraction-a-Dette-Python.ipynb | GameTheory-19 : L’abstraction a dette mesurable | Python 3 | READY | BETA | 15min | po-2024 |
| 95 | GameTheory-20-Chemin-Minimal-Robinson-Goforth-Python.ipynb | GameTheory 20 : Le chemin minimal, témoin… | Python 3 | READY | DRAFT | 45min | po-2024 |
| 96 | GameTheory-20b-Chemin-Minimal-Temoins-Impossibilite-Python.ipynb | GameTheory 24b : Le temoin d’impossibilite | Python 3 | READY | BETA | 30min | po-2024 |
| 97 | GameTheory-20c-Chemin-Minimal-3x2-Ordinal-Python.ipynb | GameTheory 20c : Le chemin minimal sur un second… | Python 3 | READY | BETA | 45min | po-2024 |
| 98 | GameTheory-20d-Loi-II-Translateur-Life-Python.ipynb | GameTheory-21 — Loi II, seconde jambe :… | Python 3 | READY | BETA | 30min | po-2024 |
| 99 | GameTheory-20e-Perplexite-Structurelle-Hashlife-Python.ipynb | GameTheory-20e – Perplexite structurelle Hashlife… | Python 3 | READY | BETA | 15min | po-2024 |
Sudoku (38 notebooks) — DEMO:1, READY:37 | BETA:38
Racine (38)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Sudoku-00-Environment-CSharp.ipynb | Sudoku-00 : Environnement et Classes de Base (C#) | .NET (C#) | READY | BETA | 30min | po-2023 |
| 2 | Sudoku-01-Backtracking-CSharp.ipynb | Sudoku-01 : Résolution par Backtracking | .NET (C#) | READY | BETA | 30min | po-2023 |
| 3 | Sudoku-01-Backtracking-Python.ipynb | Sudoku-01 : Resolution par Backtracking (Python) | Python 3 | READY | BETA | 30min | po-2023 |
| 4 | Sudoku-02-DancingLinks-CSharp.ipynb | Résolution de Sudoku avec Algorithm X et Dancing… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 5 | Sudoku-02-DancingLinks-Python.ipynb | Sudoku-Python-DancingLinks : Dancing Links /… | Python 3 | READY | BETA | 30min | po-2023 |
| 6 | Sudoku-03-Genetic-CSharp.ipynb | Sudoku-03 : Résolution par Algorithme Génétique… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 7 | Sudoku-03-Genetic-Python.ipynb | Sudoku-Python-Genetic : Algorithme Génétique… | Python 3 | READY | BETA | 30min | po-2023 |
| 8 | Sudoku-04-SimulatedAnnealing-CSharp.ipynb | Résolution de Sudoku par Recuit Simulé | .NET (C#) | READY | BETA | 1h | po-2023 |
| 9 | Sudoku-04-SimulatedAnnealing-Python.ipynb | Sudoku-04 : Recuit Simule (Python) | Python 3 | READY | BETA | 45min | po-2023 |
| 10 | Sudoku-05-PSO-CSharp.ipynb | Sudoku-05 : Particle Swarm Optimization (PSO) | .NET (C#) | READY | BETA | 1h | po-2023 |
| 11 | Sudoku-05-PSO-Python.ipynb | Sudoku-05 : Particle Swarm Optimization (Python) | Python 3 | READY | BETA | 45min | po-2023 |
| 12 | Sudoku-06-AIMA-CSP-CSharp.ipynb | Sudoku-06 : Résolution par CSP Académique (AIMA) | .NET (C#) | READY | BETA | 45min | po-2023 |
| 13 | Sudoku-06-AIMA-CSP-Python.ipynb | Sudoku-06 : Résolution par CSP Académique (Python) | Python 3 | READY | BETA | 45min | po-2023 |
| 14 | Sudoku-07-Norvig-CSharp.ipynb | Sudoku-07 : Résolution par Propagation de… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 15 | Sudoku-07-Norvig-Python.ipynb | Sudoku-07 : Résolution par Propagation de… | Python 3 | READY | BETA | 30min | po-2023 |
| 16 | Sudoku-08-HumanStrategies-CSharp.ipynb | Résolution de Sudoku par Stratégies Humaines | .NET (C#) | READY | BETA | 45min | po-2023 |
| 17 | Sudoku-08-HumanStrategies-Python.ipynb | Sudoku-08 : Resolution par Stratégies Humaines… | Python 3 | READY | BETA | 45min | po-2023 |
| 18 | Sudoku-09-GraphColoring-CSharp.ipynb | Notebook 9: Résolution de Sudoku par Coloration de… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 19 | Sudoku-09-GraphColoring-Python.ipynb | Sudoku-09 : Coloration de Graphe (Python) | Python 3 | READY | BETA | 30min | po-2023 |
| 20 | Sudoku-10-ORTools-CSharp.ipynb | Sudoku-10 : Résolution avec OR-Tools (C#) | .NET (C#) | READY | BETA | 45min | po-2023 |
| 21 | Sudoku-10-ORTools-Python.ipynb | Sudoku-10-ORTools-Python : OR-Tools CP-SAT… | Python 3 | READY | BETA | 30min | po-2023 |
| 22 | Sudoku-11-Choco-CSharp.ipynb | Sudoku-11-Choco-CSharp : Solveur Choco via IKVM | .NET (C#) | READY | BETA | 45min | po-2023 |
| 23 | Sudoku-11-Choco-Python.ipynb | Notebook 11: Résolution de Sudoku avec Choco… | Python 3 | READY | BETA | 30min | po-2023 |
| 24 | Sudoku-12-Z3-CSharp.ipynb | Sudoku-12 : Résolution avec Z3 SMT Solver (C#) | .NET (C#) | READY | BETA | 45min | po-2023 |
| 25 | Sudoku-12-Z3-Python.ipynb | Sudoku-12-Z3-Python : Z3 SMT Solver (Python) | Python 3 | READY | BETA | 30min | po-2023 |
| 26 | Sudoku-12b-Z3-Linq2Z3-CSharp.ipynb | Sudoku 12b : Linq2Z3 — l’histoire d’un binding, de… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 27 | Sudoku-13-SymbolicAutomata-CSharp.ipynb | Sudoku-13 : Le Sudoku comme Regex Symbolique -… | .NET (C#) | READY | BETA | 1h | po-2023 |
| 28 | Sudoku-13-SymbolicAutomata-Python.ipynb | Sudoku-13 : Le Sudoku comme Regex Symbolique —… | Python 3 | READY | BETA | 30min | po-2023 |
| 29 | Sudoku-14-BDD-CSharp.ipynb | Sudoku-14 : Automates avec BDD/MDD - Approche Pure | .NET (C#) | READY | BETA | 45min | po-2023 |
| 30 | Sudoku-14-BDD-Python.ipynb | Sudoku-14 : Automates avec BDD/MDD - Approche Pure… | Python 3 | READY | BETA | 30min | po-2023 |
| 31 | Sudoku-15-Infer-CSharp.ipynb | Résolution de Sudoku avec Infer.NET | .NET (C#) | READY | BETA | 1h | po-2023 |
| 32 | Sudoku-15-Infer-Python.ipynb | Sudoku-15-Infer-Python : Resolution Probabiliste… | Python 3 | READY | BETA | 45min | po-2023 |
| 33 | Sudoku-16-NeuralNetwork-Python.ipynb | Sudoku-16 : Résolution par Réseaux de Neurones | Python 3 | READY | BETA | 1h | po-2023 |
| 34 | Sudoku-17-LLM-Python.ipynb | Notebook 17: Resolution de Sudoku avec Large… | Python 3 | DEMO | BETA | 45min | po-2023 |
| 35 | Sudoku-18-Comparison-CSharp.ipynb | Comparaison des Solveurs de Sudoku | .NET (C#) | READY | BETA | 1h | po-2023 |
| 36 | Sudoku-18-Comparison-Python.ipynb | Comparaison des Solveurs de Sudoku | Python 3 | READY | BETA | 45min | po-2023 |
| 37 | Sudoku-18b-Statistical-Comparison-Python.ipynb | Sudoku-18b - Comparaison statistique honnête de… | Python 3 | READY | BETA | 30min | po-2023 |
| 38 | Sudoku-19-Lean-Propagation-Lean.ipynb | Sudoku-19 — Soundness de la propagation de… | Lean 4 (WSL) | READY | BETA | 15min | po-2023 |
Probas (77 notebooks) — READY:77 | ALPHA:2, BETA:74, DRAFT:1
Applications (4)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Percolation-Lean.ipynb | Percolation-Lean — le noyau fini de percolation,… | Lean 4 (WSL, percolation) | READY | BETA | 30min | po-2023 |
| 2 | Percolation-Supercritique.ipynb | Percolation supercritique : le géant au-dessus du… | Python 3 | READY | ALPHA | 30min | po-2023 |
| 3 | Pyro_RSA_Hyperbole.ipynb | Le Framework Rational Speech Act (RSA) | Python 3 | READY | BETA | 45min | po-2023 |
| 4 | Quotients-Fibres-Recollement-Python.ipynb | Quotients, fibres et recollement : ce qui survit à… | Python 3 | READY | BETA | 30min | po-2023 |
DecisionTheory (32)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Actuariat-01-Prime-Pure-Chargement.ipynb | Actuariat-01 : Du risque à la prime — prime pure,… | Python 3 (ipykernel) | READY | BETA | 45min | po-2023 |
| 2 | Actuariat-02-Freq-Sev-Hierarchique.ipynb | Actuariat-02 — Fréquence × sévérité hiérarchique :… | Python 3 | READY | BETA | 30min | po-2023 |
| 3 | Actuariat-03-Actuarial-Credibility.ipynb | Actuariat-03 — Crédibilité actuarielle de… | Python 3 (ipykernel) | READY | BETA | 30min | po-2023 |
| 4 | Actuariat-04-Ruine-Lundberg.ipynb | Actuariat-04 : Ruine et capital — le processus de… | Python 3 (ipykernel) | READY | BETA | 30min | po-2023 |
| 5 | Actuariat-05-Valeur-Info-Souscription.ipynb | Actuariat-05 — Valeur de l’Information en… | Python 3 | READY | BETA | 30min | po-2023 |
| 6 | CausalBridges-01-Do-Calculus.ipynb | Du graphe causal au do-calculus — le pont entre… | Python 3 (coursia-ml-training) | READY | BETA | 45min | po-2023 |
| 7 | CausalBridges-02-Dowhy-Estimand-Intervention.ipynb | CausalBridges-02 — Exiger un estimand :… | Python 3 | READY | BETA | 30min | po-2023 |
| 8 | CausalBridges-03-Dowhy-Contrefactuel-Individuel.ipynb | CausalBridges-03 — Le contrefactuel individuel :… | Python 3 (coursia-ml-training) | READY | BETA | 30min | po-2023 |
| 9 | CausalBridges-04-Dowhy-Decouverte-Structure.ipynb | CausalBridges-04 — La découverte de structure : le… | Python (coursia-ml-training) | READY | BETA | 30min | po-2023 |
| 10 | CausalBridges-05-Dowhy-Sensibilite-Confounder.ipynb | CausalBridges-05 — Le confondeur non observé :… | Python 3 (coursia-ml-training) | READY | BETA | 45min | po-2023 |
| 11 | CausalBridges-06-Dowhy-Instrument-Faible.ipynb | CausalBridges-06 — L’instrument faible : quand le… | Python (coursia-ml-training) | READY | BETA | 30min | po-2023 |
| 12 | CausalBridges-07-Quasi-Experimental.ipynb | Méthodes quasi-expérimentales — identifier l’effet… | Python 3 (coursia-ml-training) | READY | BETA | 45min | po-2023 |
| 13 | CausalBridges-08-Causal-Fairness.ipynb | Causal-Fairness — Décomposer la discrimination :… | Python 3 (coursia-ml-training) | READY | BETA | 30min | po-2023 |
| 14 | DecInfer-01-Utility-Foundations.ipynb | DecInfer-01-Utility-Foundations : Axiomes et… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 15 | DecInfer-02-Lean-ExpectedUtility.ipynb | DecInfer-02-Théorème de représentation de von… | Lean 4 (WSL) | READY | BETA | 15min | po-2023 |
| 16 | DecInfer-02b-Lean-Coherence.ipynb | DecInfer-02b-Lean-Coherence : Dutch Book et bornes… | Lean 4 (WSL) | READY | BETA | 15min | po-2023 |
| 17 | DecInfer-03-Utility-Money.ipynb | DecInfer-03-Utility-Money : Utilite de l’Argent et… | .NET (C#) | READY | BETA | 1h | po-2023 |
| 18 | DecInfer-04-Multi-Attribute.ipynb | DecInfer-04-Multi-Attribute : Utilite… | .NET (C#) | READY | BETA | 1h | po-2023 |
| 19 | DecInfer-05-Decision-Networks.ipynb | DecInfer-05-Decision-Networks : Reseaux de… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 20 | DecInfer-06-Value-Information.ipynb | DecInfer-06-Value-Information : Valeur de… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 21 | DecInfer-07-Expert-Systems.ipynb | DecInfer-07-Expert-Systems : Decisions Robustes et… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 22 | DecInfer-08-Sequential.ipynb | DecInfer-08-Sequential : MDPs, Bandits et POMDPs | .NET (C#) | READY | BETA | 45min | po-2023 |
| 23 | DecInfer-08b-Lean-Gittins.ipynb | DecInfer-08b-Preuves formelles — Indice de Gittins | Lean 4 (WSL) | READY | BETA | 30min | po-2023 |
| 24 | DecInfer-10-Thompson-Sampling.ipynb | DecInfer-10-Thompson-Sampling : Bandits bayesiens… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 25 | DecPyMC-08-Actuariat-Capstone.ipynb | DecPyMC-08 : Capstone — la sous-série Actuariat | Python 3 | READY | BETA | 15min | po-2023 |
| 26 | DecPyMC-1-Utility-Foundations.ipynb | DecPyMC-1-Utility-Foundations : Axiomes et… | Python 3 | READY | BETA | 30min | po-2023 |
| 27 | DecPyMC-2-Utility-Money.ipynb | DecPyMC-2-Utility-Money : Utilite de l’Argent et… | Python 3 (ipykernel) | READY | BETA | 45min | po-2023 |
| 28 | DecPyMC-3-Multi-Attribute.ipynb | DecPyMC-3-Multi-Attribute : Utilite… | Python 3 | READY | BETA | 45min | po-2023 |
| 29 | DecPyMC-4-Decision-Networks.ipynb | DecPyMC-4-Decision-Networks : Reseaux de Decision | Python 3 | READY | BETA | 30min | po-2023 |
| 30 | DecPyMC-5-Value-Information.ipynb | DecPyMC-5-Valeur de l’Information | Python 3 | READY | ALPHA | 1h | po-2023 |
| 31 | DecPyMC-6-Expert-Systems.ipynb | DecPyMC-6-Systèmes Experts et Decisions Robustes | Python 3 | READY | BETA | 45min | po-2023 |
| 32 | DecPyMC-7-Sequential.ipynb | DecPyMC-7-MDPs, Bandits et POMDPs | Python 3 | READY | BETA | 45min | po-2023 |
Infer (21)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Infer-08b-TrueSkill-Formules-Fermees-CSharp.ipynb | Infer-8b-TrueSkill-Formules-Fermees : la mise a… | .NET (C#) | READY | BETA | 30min | po-2023 |
| 2 | Infer-1-Setup.ipynb | Infer-1-Setup : Introduction et Installation | .NET (C#) | READY | BETA | 45min | po-2023 |
| 3 | Infer-10-Model-Selection.ipynb | Infer-10-Model-Sélection : Sélection et… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 4 | Infer-11-Topic-Models.ipynb | Infer-11-Topic-Models : Latent Dirichlet… | .NET (C#) | READY | BETA | 1h | po-2023 |
| 5 | Infer-12-Modeles-Hierarchiques.ipynb | 12. Modèles Hiérarchiques Bayésiens — Pooling… | .NET (C#) | READY | BETA | 30min | po-2023 |
| 6 | Infer-13-Crowdsourcing.ipynb | Infer-13-Crowdsourcing : Agregation de Labels et… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 7 | Infer-14-Sequences.ipynb | Infer-14-Sequences : Hidden Markov Models et… | .NET (C#) | READY | BETA | 1h | po-2023 |
| 8 | Infer-15-Recommenders.ipynb | Infer-15-Recommenders : systèmes de Recommandation | .NET (C#) | READY | BETA | 1h30 | po-2023 |
| 9 | Infer-16-Sparse-Gaussian-Process.ipynb | Infer-16-Sparse-Gaussian-Process : Processus… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 10 | Infer-17-Kalman-Filter.ipynb | Infer-17 — Filtre de Kalman : systèmes dynamiques… | .NET (C#) | READY | BETA | 30min | po-2023 |
| 11 | Infer-18-Change-Point.ipynb | Infer-18 — Détection de Rupture (Change-Point) :… | .NET (C#) | READY | BETA | 30min | po-2023 |
| 12 | Infer-19-Survival-Analysis.ipynb | Infer-19 — Analyse de survie / fiabilite… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 13 | Infer-1b-Premiers-Modeles.ipynb | Infer-1b : Introduction a Infer.NET | .NET (C#) | READY | BETA | 1h | po-2023 |
| 14 | Infer-2-Gaussian-Mixtures.ipynb | Infer-2-Gaussian-Mixtures : Distributions… | .NET (C#) | READY | BETA | 1h | po-2023 |
| 15 | Infer-2b-Debugging-Bonnes-Pratiques.ipynb | Infer-2b-Debugging-Bonnes-Pratiques :… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 16 | Infer-3-Factor-Graphs.ipynb | Infer-3-Factor-Graphs : Graphes de Facteurs et… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 17 | Infer-4-Bayesian-Networks.ipynb | Infer-4-Bayesian-Networks : Reseaux Bayesiens… | .NET (C#) | READY | BETA | 1h | po-2023 |
| 18 | Infer-5-Causal-Inference.ipynb | Infer-5-Causal-Inference : Inférence Causale et… | .NET (C#) | READY | BETA | 45min | po-2023 |
| 19 | Infer-7-Skills-IRT.ipynb | Infer-7-Skills-IRT : Evaluation de Competences et… | .NET (C#) | READY | BETA | 1h | po-2023 |
| 20 | Infer-8-TrueSkill.ipynb | Infer-8-TrueSkill : Système de Classement et… | .NET (C#) | READY | BETA | 1h | po-2023 |
| 21 | Infer-9-Classification.ipynb | Infer-9-Classification : Classification Bayesienne | .NET (C#) | READY | BETA | 1h | po-2023 |
PyMC (20)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | PyMC-01-Setup.ipynb | PyMC-1 : Configuration et Premier Modèle | Python 3 | READY | BETA | 30min | po-2023 |
| 2 | PyMC-02-Gaussian-Mixtures.ipynb | PyMC-2 : Distributions Gaussiennes et Mélanges | Python 3 | READY | BETA | 30min | po-2023 |
| 3 | PyMC-02b-Debugging-Python.ipynb | PyMC-02b-Debugging-Python : Troubleshooting et… | Python 3 | READY | BETA | 30min | po-2023 |
| 4 | PyMC-03-Factor-Graphs.ipynb | PyMC-3 : Graphes de Facteurs et Inference Discrete | Python 3 | READY | BETA | 30min | po-2023 |
| 5 | PyMC-04-Bayesian-Networks.ipynb | PyMC-4 : Reseaux Bayesiens | Python 3 (PyMC 3.11) | READY | BETA | 30min | po-2023 |
| 6 | PyMC-05-Causal-Inference.ipynb | PyMC-05-Causal-Inference : Inference Causale et… | Python 3 | READY | BETA | 45min | po-2023 |
| 7 | PyMC-07-Skills-IRT.ipynb | PyMC-7 : Modèles de Competences (IRT et DINA) | Python 3 | READY | BETA | 30min | po-2023 |
| 8 | PyMC-08-TrueSkill.ipynb | PyMC-8 : TrueSkill - Classement et Apprentissage… | Python 3 | READY | BETA | 45min | po-2023 |
| 9 | PyMC-09-Classification.ipynb | PyMC-9 : Classification Bayesienne et Tests A/B | Python 3 | READY | BETA | 30min | po-2023 |
| 10 | PyMC-10-Model-Selection.ipynb | PyMC-10 : Sélection de Modèles et Comparaison… | Python 3 | READY | BETA | 45min | po-2023 |
| 11 | PyMC-11-Topic-Models.ipynb | PyMC-11 : Modèles de Sujets (Topic Models) et LDA | Python 3 | READY | BETA | 45min | po-2023 |
| 12 | PyMC-12-Modeles-Hierarchiques.ipynb | 12. Modèles Hiérarchiques Bayesiens – Pooling… | Python 3 | READY | BETA | 30min | po-2023 |
| 13 | PyMC-13-Crowdsourcing.ipynb | PyMC-13 : Crowdsourcing - Agregation de Labels et… | Python 3 | READY | BETA | 45min | po-2023 |
| 14 | PyMC-14-Sequences.ipynb | PyMC-14 — Modèles de Sequences et Chaînes de… | Python 3 | READY | BETA | 45min | po-2023 |
| 15 | PyMC-15-Recommenders.ipynb | PyMC-15-Recommenders : Systèmes de Recommandation… | Python 3 | READY | BETA | 45min | po-2023 |
| 16 | PyMC-16-Sparse-Gaussian-Process.ipynb | PyMC-16 : Processus Gaussiens et frontières non… | Python 3 | READY | BETA | 45min | po-2023 |
| 17 | PyMC-17-Kalman-Filter.ipynb | 17. Filtre de Kalman : systèmes dynamiques… | Python 3 | READY | BETA | 30min | po-2023 |
| 18 | PyMC-18-Change-Point.ipynb | 18. Detection de Rupture (Change-Point) : inferer… | Python 3 | READY | BETA | 30min | po-2023 |
| 19 | PyMC-19-Survival-Analysis.ipynb | 19. Analyse de survie / fiabilite bayesienne :… | Python 3 | READY | BETA | 30min | po-2023 |
| 20 | PyMC-Observabilite-OTel.ipynb | Observabilité OTel — instrumenter un modèle PyMC… | Python 3 | READY | DRAFT | 30min | po-2023 |
IIT (94 notebooks) — DEMO:6, READY:88 | ALPHA:1, BETA:81, DRAFT:12
Racine (6)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | IIT-01-IntroToPyPhi.ipynb | IIT - Introduction à PyPhi et Integrated… | Python 3 (PyPhi/IIT) | READY | BETA | 45min | po-2025 |
| 2 | IIT-02-AdvancedTopics.ipynb | IIT - Sujets Avances : Partitionnement,… | Python 3 (PyPhi/IIT) | READY | BETA | 45min | po-2025 |
| 3 | IIT-03-CoarseGrainingMacroPhi.ipynb | IIT-3. Coarse-graining, blackboxing et l’échelle… | pyphi | READY | BETA | 30min | po-2025 |
| 4 | IIT-04-Le-Probleme-de-Frontiere.ipynb | IIT-4. Le problème de frontière — qui décide où… | Python 3 (PyPhi/IIT) | READY | BETA | 30min | po-2025 |
| 5 | IIT-05-Lentilles-et-Dissociations.ipynb | IIT-5. Les lentilles de conscience comme bancs de… | unknown | READY | BETA | 30min | po-2025 |
| 6 | IIT-06-L-Objet-qui-a-Mordu-IIT.ipynb | IIT-6. L’objet qui a mordu IIT — l’expander à Φ… | Python 3 (PyPhi/IIT) | READY | BETA | 45min | po-2025 |
ICT-Series (88)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | ICT-01-PhiTrajectories-Python.ipynb | ICT-1 — Trajectoires de \(\\Phi\) | Python 3.9 (PyPhi/IIT) | READY | BETA | 30min | po-2025 |
| 2 | ICT-02-SelfSortingMorphogenesis-Python.ipynb | ICT-2 — Le tri comme morphogenèse minimale… | Python 3 | READY | BETA | 30min | po-2025 |
| 3 | ICT-03-RobustnessDelayedGratification-Python.ipynb | ICT-3 — Robustesse & délai de gratification :… | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 4 | ICT-04-ChimericArraysKinAggregation-Python.ipynb | ICT-4 — Tableaux chimériques & agrégation… | Python 3 | READY | BETA | 30min | po-2025 |
| 5 | ICT-05-CausalEmergence-Python.ipynb | ICT-5 : Émergence causale — quelle échelle décrit… | Python 3.9 (PyPhi/IIT) | READY | BETA | 30min | po-2025 |
| 6 | ICT-06-SortingToTPM-CausalEmergence-Python.ipynb | ICT-6 — Du tri a la chaîne de Markov : emergence… | Python 3 (coursia-ml-training) | READY | BETA | 30min | po-2025 |
| 7 | ICT-07-ScaleFreeSignatures-Python.ipynb | ICT-7 — Signatures scale-free & criticalite | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 8 | ICT-08-AttractorLandscapesEWS-Python.ipynb | ICT-8 — Paysages d’attracteurs & signaux… | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 9 | ICT-09-AgencyRegeneration-Python.ipynb | ICT-9 — Agence & regeneration : *reparer sa forme,… | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 10 | ICT-10-CatastropheGrammar-Python.ipynb | ICT-10 — Grammaire des catastrophes : *l’obstacle… | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 11 | ICT-11-CausalAgencyProfiles-Python.ipynb | ICT-11 — Profils d’agence causale : à quelle… | Python 3 | READY | BETA | 30min | po-2025 |
| 12 | ICT-12-ValenceFieldsAndAnimats-Python.ipynb | ICT-12 — Champs de valence et animats : rôles… | Python 3 | READY | BETA | 30min | po-2025 |
| 13 | ICT-12b-LearnedValence-Python.ipynb | ICT-12b — Valence APPRISE, transferable,… | Python 3 | READY | BETA | 30min | po-2025 |
| 14 | ICT-12c-PregnanceAnimat-Python.ipynb | ICT-12c — Animat prégnance/valence incarné : la… | Python 3 | READY | BETA | 30min | po-2025 |
| 15 | ICT-12d-InhibitedActionAnimat-Python.ipynb | ICT-12d — Animat inhibé (Laborit) :… | Python 3 | READY | BETA | 30min | po-2025 |
| 16 | ICT-12e-Value-of-Information-Animat-Python.ipynb | ICT-12e — Valeur de l’information pour l’animat… | Python 3 | READY | BETA | 30min | po-2025 |
| 17 | ICT-13-AxelrodStrategicMorphodynamics-Python.ipynb | ICT-13 — Morphodynamique stratégique : une… | Python 3 | READY | BETA | 45min | po-2025 |
| 18 | ICT-13b-DecroisementDynamiqueObservable-Python.ipynb | ICT-13b — Décroisement dynamique × observable :… | Python 3 | READY | ALPHA | 30min | po-2025 |
| 19 | ICT-14-FreeEnergySurprise-Python.ipynb | ICT-14 — Énergie libre et surprise du représentant… | Python 3 | READY | BETA | 30min | po-2025 |
| 20 | ICT-14b-ActiveInferenceEFE-Python.ipynb | ICT-14b — Inférence active : l’expected free… | Python 3 | READY | DRAFT | 30min | po-2025 |
| 21 | ICT-15-IntegratedComplexity-Python.ipynb | ICT-15 — Integrated Complexity : convergence Φ / F… | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 22 | ICT-15b-SensitivityCanonicity-Python.ipynb | ICT-15b – Sensitivity Canonicity (Huang 2019… | Python 3 | READY | DRAFT | 45min | po-2025 |
| 23 | ICT-15c-MetaProxyObstruction-Python.ipynb | ICT-15c — Méta-proxy d’obstruction : structure des… | Python 3 | READY | BETA | 30min | po-2025 |
| 24 | ICT-15d-CechObstruction-Python.ipynb | ICT-15d — Cochaîne de Čech pondérée : obstruction… | Python 3 | READY | BETA | 30min | po-2025 |
| 25 | ICT-15e-Bridge2-RecoverabilityAgency-Python.ipynb | ICT-15e – Bridge #2 : recouvrabilite est… | Python 3 | READY | BETA | 30min | po-2025 |
| 26 | ICT-15f-Bridge1bis-DecoupledFamily-Python.ipynb | ICT-15f – Pont #1-bis : la famille decouplee… | Python 3 | READY | BETA | 30min | po-2025 |
| 27 | ICT-15g-EmpiricalHuangExploitation-Python.ipynb | ICT-15g – Exploitation empirique de la… | Python 3 | READY | DRAFT | 30min | po-2025 |
| 28 | ICT-15h-Bridge1bis-AsymmetricFamily-Python.ipynb | ICT-15h – Pont #1-bis (chantier 2/3) : le regime… | Python 3 | READY | BETA | 30min | po-2025 |
| 29 | ICT-15i-Bridge1bis-2DLandscape-Python.ipynb | ICT-15i – Pont #1-bis : le paysage 2D anisotrope… | unknown | READY | BETA | 30min | po-2025 |
| 30 | ICT-15j-NerveDiscriminant-Python.ipynb | ICT-15j — Discriminant Čech par nerf simplicial… | Python 3 | READY | BETA | 30min | po-2025 |
| 31 | ICT-15k-RecollementMacroCells-Python.ipynb | ICT-15k — Recollement des macrocells : le quadtree… | Python 3 | READY | BETA | 30min | po-2025 |
| 32 | ICT-15l-IndependanceGenerateur-Python.ipynb | ICT-15l — Indépendance au générateur de nouveauté… | Python 3 | READY | BETA | 30min | po-2025 |
| 33 | ICT-16-MDLTwoPartCode-Python.ipynb | ICT-16 — MDL / code en deux parties et bosse… | Python 3 | READY | BETA | 30min | po-2025 |
| 34 | ICT-17-EpsilonMachine-Python.ipynb | ICT-17 – Mecanique computationnelle… | Python 3 | READY | DRAFT | 30min | po-2025 |
| 35 | ICT-17b-Grokking-CompressionProgress-Python.ipynb | ICT-17b — Grokking et compression-progress : la… | Python 3 | READY | BETA | 45min | po-2025 |
| 36 | ICT-18-ArrowOfTimeReversibilization-Python.ipynb | ICT-18 – Fleche du temps et reversibilisation… | Python 3.9 (PyPhi/IIT) | READY | BETA | 30min | po-2025 |
| 37 | ICT-18b-ReversibilityBudget-Python.ipynb | ICT-18b — Budget de réversibilité : la jambe « fin… | Python 3 | READY | BETA | 30min | po-2025 |
| 38 | ICT-19-EnjeuBattery-Python.ipynb | ICT-19 — La batterie de l’ENJEU : auto-maintien vs… | Python 3 | READY | BETA | 30min | po-2025 |
| 39 | ICT-19b-EnjeuBattery-Raffinement-Python.ipynb | ICT-19b — Raffinement et résolution des stubs… | Python 3 | READY | BETA | 30min | po-2025 |
| 40 | ICT-20-FeatureCatastrophes-Python.ipynb | ICT-20 — FeatureCatastrophes : *calibration de… | Python 3 | READY | BETA | 30min | po-2025 |
| 41 | ICT-21-SAETrajectoires-Python.ipynb | ICT-21 — SAETrajectoires : le substrat S4 entre au… | Python 3 | READY | BETA | 1h | po-2025 |
| 42 | ICT-21b-SAECalibration-Python.ipynb | ICT-21b-SAECalibration-Python — que reconstruit… | Python 3 | READY | BETA | 45min | po-2025 |
| 43 | ICT-21c-SAECatastrophes-Python.ipynb | ICT-21c-SAECatastrophes-Python — forme et… | Python 3 | READY | BETA | 45min | po-2025 |
| 44 | ICT-22-LLMSubstrat-Python.ipynb | ICT-22 — LLMSubstrat : le transformer comme… | Python 3 | READY | BETA | 30min | po-2025 |
| 45 | ICT-22b-CausalInterventionEngine-Python.ipynb | ICT-22b – Moteur d’intervention causal : operer,… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 46 | ICT-23-PersonaCatastrophe-Python.ipynb | ICT-23 — PersonaCatastrophe : la fronce de Thom… | Python 3 | READY | BETA | 15min | po-2025 |
| 47 | ICT-24-WorkspaceIgnition-Python.ipynb | ICT-24 — WorkspaceIgnition : l’axe Global… | Python 3 | READY | BETA | 30min | po-2025 |
| 48 | ICT-25-InoculationRL-Python.ipynb | ICT-25 — InoculationRL : GRPO à récompense… | Python 3 | READY | BETA | 1h | po-2025 |
| 49 | ICT-26-SignalingConvention-Python.ipynb | ICT-26 — Convention de signalisation (expérience… | Python 3 | READY | BETA | 30min | po-2025 |
| 50 | ICT-27-SymbolInvention-Python.ipynb | ICT-27 — Invention de symboles (expérience B,… | Python 3 | READY | BETA | 30min | po-2025 |
| 51 | ICT-28-CollectiveAdoption-Python.ipynb | ICT-28 — Adoption collective et seuil de… | Python 3 | READY | BETA | 30min | po-2025 |
| 52 | ICT-29-ConceptInoculation-Python.ipynb | ICT-29 — Inoculation d’un concept (expérience D,… | Python 3 | READY | DRAFT | 30min | po-2025 |
| 53 | ICT-30-InhibitedInvention-Python.ipynb | ICT-30 — Invention inhibée (expérience E, strate… | Python 3 | READY | BETA | 30min | po-2025 |
| 54 | ICT-31-ContrasteTroisSubstrats-Python.ipynb | ICT-31 — Le contraste mesuré à trois substrats :… | Python 3 | READY | BETA | 30min | po-2025 |
| 55 | ICT-32-StratificationCausaleLife-Python.ipynb | ICT-32 — Stratification causale du Jeu de la Vie :… | Python 3 | READY | BETA | 30min | po-2025 |
| 56 | ICT-33-SoupCollisions-Python.ipynb | ICT-33 — Ensembles ouverts : soupes, collisions,… | Python 3 | READY | BETA | 30min | po-2025 |
| 57 | ICT-34-BancRecollementLectures-Python.ipynb | ICT-34 — Le banc de recollement des lectures :… | Python 3 | READY | BETA | 30min | po-2025 |
| 58 | ICT-35-HumorCausalProbe-Pilot-Python.ipynb | ICT-35 – HumorCausalProbe-Pilot : substrat HLS,… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 59 | ICT-35b-HumorCausalPairs-SAE-Python.ipynb | ICT-35b – HumorCausalPairs-SAE : paires… | Python 3 | DEMO | BETA | 30min | po-2025 |
| 60 | ICT-35c-HumorDepthProfile-SAE-Python.ipynb | ICT-35c – HumorDepthProfile-SAE : le verdict… | Python 3 | READY | BETA | 30min | po-2025 |
| 61 | ICT-35d-HumorTypologyBreakdown-SAE-Python.ipynb | ICT-35d – HumorTypologyBreakdown-SAE : le verdict… | Python 3 | DEMO | BETA | 30min | po-2025 |
| 62 | ICT-36-FLens-FactoredGeometry-Python.ipynb | ICT-36 — F-Lens : mode factored-geometry,… | Python 3 | READY | BETA | 45min | po-2025 |
| 63 | ICT-37-FLens-BeliefState-Python.ipynb | ICT-37 - F-Lens : mode belief-state, probing… | Python 3 | READY | DRAFT | 30min | po-2025 |
| 64 | ICT-38-SLens-SelfLocation-Python.ipynb | ICT-38 — S-Lens : la représentation porte-t-elle… | unknown | READY | BETA | 45min | po-2025 |
| 65 | ICT-39-CompositionRegards-Python.ipynb | ICT-39 — Composition de regards | Python 3 | READY | BETA | 30min | po-2025 |
| 66 | ICT-40a-TriangulationCausale-Python.ipynb | ICT-40a — Triangulation causale : SAE x J-Lens x… | Python 3 | READY | DRAFT | 45min | po-2025 |
| 67 | ICT-40b-AnalogCognitionWaves-Python.ipynb | ICT-40b — Cognition analogique : les ondes… | Python 3 | READY | BETA | 30min | po-2025 |
| 68 | ICT-41-SAE-GeometrieFeatures-Python.ipynb | Geometrie des features SAE : galaxy, atome, dense… | Python 3 | READY | BETA | 30min | po-2025 |
| 69 | ICT-41b-Crosscoder-Distillation-Python.ipynb | ICT-41b — Crosscoder : diffuser deux modèles,… | coursia-ml-training | READY | BETA | 45min | po-2025 |
| 70 | ICT-42-InoculationBifurcation-Pilot-Python.ipynb | ICT-42 — Inoculation et bifurcation… | Python 3 | READY | DRAFT | 30min | po-2025 |
| 71 | ICT-42b-InoculationBifurcation-9B-Python.ipynb | ICT-42b — Inoculation et bifurcation : la… | Python 3 | READY | DRAFT | 45min | po-2025 |
| 72 | ICT-43-Calibration-MultiEchelle-Python.ipynb | ICT-43 — Calibration multi-échelle, Phase 0 :… | Python 3 | DEMO | DRAFT | 15min | po-2025 |
| 73 | ICT-44-GeometryOfTruth-Python.ipynb | ICT-44 — La géométrie de la vérité : une direction… | coursia-ml-training | READY | BETA | 45min | po-2025 |
| 74 | ICT-46-Strate7-FreeCoordinates-Python.ipynb | ICT-46 — Strate 7 : freebits de second ordre, le… | Python 3 | READY | BETA | 30min | po-2025 |
| 75 | ICT-47-PainAxisDistillation-Python.ipynb | ICT-47 — L’axe douleur : une direction linéaire… | Python 3 (py310-gpu) | DEMO | BETA | 1h | po-2025 |
| 76 | ICT-Annexe-ProxyContextuality.ipynb | ICT — Annexe : la contextualité du zoo de proxys… | Python 3 | READY | BETA | 30min | po-2025 |
| 77 | ICT-Argumentation-BeliefTrajectories.ipynb | ICT — Substrat argumentation : trajectoires de… | Python 3 | READY | BETA | 45min | po-2025 |
| 78 | ICT-Argumentation-QBFAcceptance.ipynb | Argumentation strate 6 — Acceptabilité QBF :… | Python 3 | READY | BETA | 30min | po-2025 |
| 79 | ICT-Argumentation-TruthMaintenance.ipynb | ICT — Substrat argumentation : maintenance de la… | Python 3 | READY | BETA | 30min | po-2025 |
| 80 | ICT-Dissociation-PhatSelfReference.ipynb | Boucle auto-referentielle p_hat (case 2 / Epic… | Python 3 | READY | BETA | 30min | po-2025 |
| 81 | ICT-Dissociation-SaillancePregnance.ipynb | ICT – Dissociation saillance / pregnance (case s… | Python 3 | READY | BETA | 30min | po-2025 |
| 82 | ICT-Greffe2-EspaceAtteignable.ipynb | ICT-Greffe2 — Le quadruplet \((A, F, r, \\pi)\) :… | Python 3 | READY | DRAFT | 30min | po-2025 |
| 83 | ICT-Greffe4-VoteOnChain.ipynb | ICT-Greffe4 — Le vote argumenté sur chaîne :… | Python 3 | READY | BETA | 30min | po-2025 |
| 84 | ICT-Greffe5-AttributionCausale.ipynb | ICT-Greffe5 – Attribution causale de… | Python 3 | READY | DRAFT | 30min | po-2025 |
| 85 | ICT-Life-SubstratCertifie.ipynb | ICT-Life — Substrat de calibration certifié : le… | Python 3 | READY | BETA | 30min | po-2025 |
| 86 | ICT-MUH-FibreTegmark.ipynb | ICT-MUH — Le texte où Tegmark cite Schmidhuber :… | Python 3 | READY | BETA | 30min | po-2025 |
| 87 | ICT-SAE-JLens-TeteATete.ipynb | Tete-a-tete SAE <-> J-space – les deux lentilles… | Python 3 | READY | BETA | 45min | po-2025 |
| 88 | ICT-Synthese-CrossSubstrat.ipynb | ICT-Synthèse — un seul appareil de mesure, cinq… | Python 3.9 (PyPhi/IIT) | READY | BETA | 45min | po-2025 |
RL (37 notebooks) — DEMO:4, READY:33 | ALPHA:3, BETA:32, DRAFT:2
Racine (26)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | RL-01-Premiers-Pas-Stable-Baselines3-Python.ipynb | Tutoriel Stable Baselines3 - Premiers pas | Python 3 | READY | BETA | 45min | po-2025 |
| 2 | RL-01b-Synthese-Logique-Bitwise-Python.ipynb | Synthese logique d’un controleur CartPole : le… | Python 3 | READY | BETA | 30min | po-2025 |
| 3 | RL-01c-Distillation-Politique-Prolog-Python.ipynb | Distiller une politique RL en programme Prolog… | Python 3 | READY | BETA | 45min | po-2025 |
| 4 | RL-02-Wrappers-Sauvegarde-Callbacks-Python.ipynb | Notebook 2 – Wrappers Gym, Sauvegarde/Chargement,… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 5 | RL-03-Experience-Replay-HER-Python.ipynb | Notebook 3 – Hindsight Experience Replay (HER) :… | Python 3 | READY | BETA | 45min | po-2025 |
| 6 | RL-04-Bandits-Manchots-Python.ipynb | RL-04 : Bandits Manchots et le Compromis… | Python 3 | READY | BETA | 45min | po-2025 |
| 7 | RL-05-MDP-Programmation-Dynamique-Q-Learning-Python.ipynb | RL-05 : MDP, Programmation Dynamique et Q-Learning… | Python 3 | READY | BETA | 1h | po-2025 |
| 8 | RL-06-DQN-Policy-Gradient-Python.ipynb | RL-06 : Deep Q-Network (DQN) et Policy Gradient | Python 3 | READY | BETA | 45min | po-2025 |
| 9 | RL-06b-Actor-Critic-Python.ipynb | RL-06b - Actor-Critic : unir valeur et politique | Python 3 | READY | BETA | 30min | po-2025 |
| 10 | RL-06c-PPO-Depuis-Zero-Python.ipynb | PPO (Proximal Policy Optimization) depuis zero | Python 3 | READY | BETA | 30min | po-2025 |
| 11 | RL-06d-SAC-Depuis-Zero-Python.ipynb | SAC (Soft Actor-Critic) depuis zero | Python 3 | READY | BETA | 30min | po-2025 |
| 12 | RL-06e-GRPO-Depuis-Zero-Python.ipynb | GRPO (Group Relative Policy Optimization) depuis… | Python 3 | READY | BETA | 45min | po-2025 |
| 13 | RL-07-Apprentissage-Multi-Agent-Python.ipynb | RL-07 : Introduction a l’Apprentissage Multi-Agent | Python 3 | READY | BETA | 30min | po-2025 |
| 14 | RL-07b-Sur-Generalisation-Climbing-Game-Python.ipynb | RL-07b — Sur-généralisation relative dans le… | Python 3 | READY | BETA | 30min | po-2025 |
| 15 | RL-08-Dyna-Q-Planification-Python.ipynb | RL-08 : Model-Based RL — Dyna-Q et planification | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 16 | RL-09-RL-Offline-Behavior-Cloning-Python.ipynb | RL-09 : RL offline — Behavior Cloning et erreur… | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 17 | RL-10-Reward-Shaping-Curriculum-Python.ipynb | RL-10 : Reward Shaping et Curriculum Learning | Python 3 | READY | BETA | 30min | po-2025 |
| 18 | RL-11-POMDP-Croyances-Python.ipynb | RL-11 : POMDP - Partial Observability et Belief… | Python 3 | READY | BETA | 30min | po-2025 |
| 19 | RL-12-Distributional-RL-C51-Python.ipynb | RL-12 : Distributional RL — C51 (Categorical DQN)… | Python 3 | READY | BETA | 45min | po-2025 |
| 20 | RL-13-Curiosite-RND-Python.ipynb | RL 13 - Exploration par curiosité : Random Network… | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 21 | RL-14-RL-Hierarchique-Options-Python.ipynb | Hierarchical RL — l’Option framework de Sutton,… | Python 3 | READY | BETA | 45min | po-2025 |
| 22 | RL-15-GRPO-Comparatif-Multi-Graines-Python.ipynb | RL-15 — GRPO (Group Relative Policy Optimization)… | Python 3 | DEMO | BETA | 45min | po-2025 |
| 23 | RL-16-Dream-RSI-Python.ipynb | RL-16 : Dream-RSI — l’exploration comme code,… | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 24 | RL-19-Reward-Tampering-Python.ipynb | RL 19 - Reward tampering : quand l’agent peut… | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 25 | rl_17_k_server_wfa.ipynb | RL 17 - k-server et work function : la conjecture… | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
| 26 | rl_18_matroid_secretary.ipynb | RL 18 - Le secrétaire matroïdal : la conjecture… | Python 3 (ipykernel) | READY | BETA | 30min | po-2025 |
PostTraining (11)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | RLPT-00-Reward-Model-Bradley-Terry-Python.ipynb | RL Post-Training — 0 : le reward model from… | Python 3 | READY | ALPHA | 45min | po-2025 |
| 2 | RLPT-00b-Biais-Dataset-Preferences-Python.ipynb | Biais d’un dataset de préférences — mesurés, pas… | Python 3 | READY | BETA | 30min | po-2025 |
| 3 | RLPT-00c-Anatomie-Reward-Hacking-Python.ipynb | RL Post-Training — 0c : l’anatomie d’un hack qui… | Python (coursia-ml-training) | READY | BETA | 45min | po-2025 |
| 4 | RLPT-00d-Reward-Trainer-TRL-Python.ipynb | RL Post-Training — 0d : le reward model à la sauce… | Python 3 | READY | DRAFT | 45min | po-2025 |
| 5 | RLPT-00e-DPO-TRL-Python.ipynb | RL Post-Training — 0e : DPO version SOTA —… | Python 3 | READY | DRAFT | 45min | po-2025 |
| 6 | RLPT-00f-GRPO-TRL-contre-PPO-Maison-Python.ipynb | RLPT-00f — Le SOTA de l’alignement en ligne :… | Python 3 | READY | ALPHA | 45min | po-2025 |
| 7 | RLPT-00g-PPO-TRL-Experimental-Python.ipynb | RLPT-00g – Le troisieme bras :… | Python 3 | DEMO | ALPHA | 45min | po-2025 |
| 8 | RLPT-01-PPO-RLHF-Petit-Modele-Python.ipynb | RL Post-Training — 1 : PPO pour l’alignement d’un… | Python 3 | READY | BETA | 30min | po-2025 |
| 9 | RLPT-02-GRPO-Minimal-Python.ipynb | RL Post-Training — 2 : GRPO minimal — alignement… | Python (coursia-ml-training) | READY | BETA | 45min | po-2025 |
| 10 | RLPT-03-Reward-Hacking-Python.ipynb | RL Post-Training — 3 : Reward hacking — anatomie… | Python (coursia-ml-training) | DEMO | BETA | 45min | po-2025 |
| 11 | RLPT-04-DPO-Offline-contre-GRPO-Online-Python.ipynb | RL Post-Training — 4 : DPO offline vs RL online —… | Python (coursia-ml-training) | READY | BETA | 45min | po-2025 |
CaseStudies (6 notebooks) — READY:6 | BETA:5, DRAFT:1
Diagnostic-Medical (2)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Diagnostic-Medical.ipynb | CC1 - IA Exploratoire et Symbolique | Python 3 | READY | BETA | 45min | |
| 2 | Diagnostic-Medical.ipynb | CC1 - IA Exploratoire et Symbolique | Python 3 | READY | BETA | 45min |
Oncology-Planning (2)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Oncology-Planning.ipynb | CC2 : OncoPlan - Corrigé Type | Python 3 | READY | BETA | 30min | |
| 2 | Oncology-Planning.ipynb | CC2 : OncoPlan - Squelette | Python 3 | READY | DRAFT | 30min |
SmartGrid-Energy (2)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | SmartGrid-Energy.ipynb | CC3 : SmartGrid - Ordonnancement de la production… | Python 3 | READY | BETA | 30min | |
| 2 | SmartGrid-Energy.ipynb | CC3 : SmartGrid - Ordonnancement de la production… | Python 3 | READY | BETA | 30min |
Complexity (11 notebooks) — READY:11 | BETA:11
Racine (11)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Complexity-01-StepCounting.ipynb | Complexity-01 — Compter des pas | Python 3 | READY | BETA | 30min | |
| 2 | Complexity-02-P-NP-Reduction.ipynb | Complexity-02 — Vérifier ou trouver : P, NP et la… | Python 3 | READY | BETA | 30min | |
| 3 | Complexity-03-TimeHierarchy.ipynb | Complexity-03 — Plus de temps, plus de problèmes | Python 3 | READY | BETA | 15min | |
| 4 | Complexity-03b-HartmanisStearns-TimeHierarchy.ipynb | Complexity-03b — Le théorème de hiérarchie… | Python 3 | READY | BETA | 30min | |
| 5 | Complexity-03c-ComplexityZoo-Navigation-Python.ipynb | Complexity-03c — Naviguer le Zoo exécutable | Python 3 (venv projet) | READY | BETA | 30min | |
| 6 | Complexity-04-OnlineAlgorithms-Python.ipynb | Complexity-04 — Décider sans connaître la suite | Python 3 | READY | BETA | 30min | |
| 7 | Complexity-04b-OnlineConjectures-Secretary-KServer.ipynb | Complexity-04b — La semaine historique de… | Python 3 | READY | BETA | 30min | |
| 8 | Complexity-05-CountingHarder-Permanent.ipynb | Complexity-05 — Compter est plus dur que vérifier… | Python 3 | READY | BETA | 30min | |
| 9 | Complexity-05b-AaronsonArkhipov-PermanenteBosonSampling.ipynb | Complexity-05b — La permanente, frontière… | Python 3 | READY | BETA | 30min | |
| 10 | Complexity-06-Aaronson-Dequantification-Stabilizer.ipynb | Complexity-06 — Déquantifier les suprématies | Python 3 | READY | BETA | 30min | |
| 11 | Complexity-07-KolmogorovBornee-Sequences-Python.ipynb | Complexity-07 — Complexité de Kolmogorov bornée :… | Python 3 (coursia-ml-training) | READY | BETA | 30min |
Compression (1 notebooks) — READY:1 | BETA:1
Racine (1)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Compression-01-ShannonFano-Prefixe-Python.ipynb | Compression-01 — Codes préfixes : de Shannon-Fano… | Python 3 | READY | BETA | 30min |
NLP (5 notebooks) — READY:5 | BETA:5
Racine (5)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | 01_TAL_Du_Mot_Aux_Dependances.ipynb | TAL — du mot aux dépendances : le pipeline… | Python 3 (coursia-ml-training) | READY | BETA | 30min | |
| 2 | 02_NGrammes_Modeles_De_Langue.ipynb | Modeles de langue n-grammes – la probabilite… | coursia-ml-training | READY | BETA | 30min | |
| 3 | 03_CRF_Etiquetage_Sequentiel.ipynb | 25 — Champs aléatoires conditionnels linéaires :… | Python 3 (ipykernel) | READY | BETA | 45min | |
| 4 | 04_PCFG_CYK_Parsing.ipynb | Grammaires probabilistes et parsing CYK — de la… | Python 3 (coursia-ml-training) | READY | BETA | 45min | |
| 5 | 05-HMM-Viterbi.ipynb | HMM et décodage de Viterbi — l’étiquetage… | Python 3 (ipykernel) | READY | BETA | 45min |
cross-series (2 notebooks) — READY:2 | BETA:2
socle-metadata-driven (2)
| # | Notebook | Title | Kernel | Status | Maturity | Duration | Owner |
|---|---|---|---|---|---|---|---|
| 1 | Socle-ExplorerPattern-Csharp.ipynb | Socle métadonnées-driven — 2. L’Explorer pattern :… | .NET (C#) | READY | BETA | 30min | |
| 2 | Socle-MetadataDriven-Csharp.ipynb | Socle métadonnées-driven — découverte,… | .NET (C#) | READY | BETA | 45min |
Requirements
- API: 197 notebooks
- GPU: 188 notebooks
- Cloud: 120 notebooks
- WSL: 125 notebooks
- Local: 819 notebooks
SocialChoice (10)