Colab that introduces various aspects of the language and applies them to simple ML problems
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
Extending JAX with custom C++ and CUDA code
How to use the Flax Linen API to build a convolutional neural network model and train it for image classification (using TensorFlow Datasets).
Neural network building blocks from scratch with the basic JAX operators