Neural network building blocks from scratch with the basic JAX operators
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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).
Ensemble nets are a method of representing an ensemble of models as one single logical model