A curated, awesome-list style collection of Google Colaboratory notebooks for machine learning experiments and tutorials.
This repository is a curated list of Google Colaboratory notebooks covering machine learning experiments. It organizes links to runnable notebooks by category, including courses, papers, and packages, so readers can open an example in the browser without local setup.
The list spans a wide range of topics, from introductory deep learning and reinforcement learning courses to notebooks tied to specific research papers and popular libraries such as TensorFlow, PyTorch, and JAX. Many entries link to the original course or project alongside an Open In Colab badge.
The collection is useful as a starting point for finding hands-on material. Entries are grouped into sections, and the page includes a trending list of repositories and packages drawn from the same notebook ecosystem.
Browse the Courses, Trending, and other tables and click an Open In Colab badge to launch a notebook in Google Colab
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