Open, modular, ready
Practice modern ML with hands-on notebooks.
Explore PyTorch fundamentals, diffusion pipelines, and applied research notebooks designed for fast learning. Launch instantly on SageMaker, Kaggle, or Colab and iterate with confidence.
Live catalog
Notebook stack
Curated paths for PyTorch, diffusion, and implementations.
Designed for fast experimentation
Each notebook is structured to help you learn, run, and extend models with minimal setup.
View the full notebook table on GitHub →Instant launch
Open directly in SageMaker Studio Lab, Kaggle, or Colab with one click.
Guided learning path
Structured progression from fundamentals to advanced diffusion systems.
Experiment-ready
Clean templates that encourage iteration and self-directed research.
Paper-to-code
Implementations that connect key research papers with practical code.
A platform built for learning teams
Maintain a single source of truth for your ML practice, synced with automated README tables and a clean notebook directory structure.
Momentum at a glance
Track how the curriculum evolves and keeps growing.
Ready to build?
Clone the repo, open a notebook, and start experimenting today. Contributions and new notebooks are always welcome.