A deep learning library built on PyTorch that offers high-level components for quick training and low-level pieces for custom research.
#notebooks
Best open-source notebook tools and runtimes (2026)
These projects are built around Jupyter notebooks, covering version control, parameterized runs, web-based notebooks, and packaging a repository into a runnable environment. Start with your bottleneck. For messy Git diffs, jupytext stores notebooks as plain Markdown or script files. For running notebooks in batches with different parameters, papermill works from the command line or a Python API. livebook is a web notebook for Elixir, and repo2docker turns a repository into a reproducible Docker image.
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A JupyterLab extension and Python package for writing unit tests against individual cells of linearly executed notebooks, such as report notebooks.
Nix-based framework for declarative, reproducible JupyterLab environments with configurable kernels and extensions.
Builds a git repository into a Jupyter-enabled Docker image based on the configuration files found in that repo.
Stores Jupyter notebooks as plain Markdown or Python, Julia, R scripts so they diff and version cleanly in Git.
Google Cloud Advanced Solutions Lab course materials: notebooks, labs and code samples for ML and generative AI on Google Cloud.
A Python tool that parameterizes, executes, and analyzes Jupyter notebooks from the command line or a Python API.
A web-based notebook for writing and running interactive, collaborative Elixir code with Markdown, charts and tables.