Machine Learning with JAX Tutorials

Overview

Get started with JAX! 💻

The goal of this repo is to make it easier to get started with JAX!

JAX is becoming an increasingly popular alternative to PyTorch and TensorFlow. 😎





Note: I'm only going to recommend content that I've personally analyzed and found useful here. If you want a comprehensive list check out the awesome-jax repo.

My Machine Learning with JAX Tutorials

Tip on how to use notebooks: just open the notebook directly in Google Colab (you'll see a button on top of the Jupyter file which will direct you to Colab). This way you can avoid having to setup the Python env! (This was especially convenient for me since I'm on Windows which is still not supported)

Tutorial #1: From Zero to Hero

YouTube Video.
Accompanying Jupyter Notebook.

JAX from zero to hero!

Other useful content

Aside from the official docs here are some resources that helped me.

Videos

Blogs

Acknowledgements

Citation

If you find this content useful, please cite the following:

@misc{Gordic2021GetStartedWithJAX,
  author = {Gordić, Aleksa},
  title = {Get started with JAX},
  year = {2021},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/gordicaleksa/get-started-with-JAX}},
}

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Licence

License: MIT

Owner
Aleksa Gordić
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