This open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.
Notebooks
This repository contains more than 250 notebooks for fine-tuning and reinforcement learning across several model types.
About Notebooks
Notebooks is a GitHub repository of more than 250 notebooks for fine-tuning and reinforcement learning (RL) on several types of AI models. The notebooks are grouped by model and cover text, vision, audio, embedding, and text-to-speech (TTS) models. The README states that the notebooks run locally and include data preparation, training, and inference steps.
The repository also includes notebooks for tool calling and for GRPO, PPO, DPO, ORPO, and DAPO reinforcement learning methods. Several RL notebooks use game-based environments such as Sudoku, 2048, Minesweeper, and Wordle. Some notebook titles name specific hardware, such as DGX Spark and A100, so users should check each notebook's requirements.
Key features
- Fine-tuning notebooks for text, vision, audio, embedding, and TTS models
- Reinforcement learning notebooks using GRPO, PPO, DPO, ORPO, and DAPO methods
- Tool calling notebooks, including mobile actions examples
- Game-based RL examples such as Sudoku, 2048, Minesweeper, and Wordle
- Embedding notebooks for classification and multimodal search
- Notebooks organized by model family, including Gemma, Qwen, Llama, and gpt-oss
Best for: Developers and researchers who want worked examples for fine-tuning or reinforcement learning on specific open model families.
Good for
- Open source repository with more than 250 notebooks
- Covers several model types, including text, vision, audio, embedding, and TTS
- Notebooks are organized by model and by task type
Watch out for
- Some notebooks are labeled for specific hardware, such as DGX Spark and A100
- Pricing is not stated in the source
Notebooks at a glance
- Category
- Education & Learning › Learn to Code
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Notebooks FAQ
Do the notebooks run locally?
The README states that the notebooks run locally and include data preparation, training, and inference.
Which types of models are covered?
The notebooks cover text, vision, audio, embedding, and text-to-speech models, along with tool calling and reinforcement learning examples.
Is the repository open source?
Yes. The repository is listed as open source and includes a LICENSE file.
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