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JAX AI Stack

Getting started

Installing the stack
Getting started with JAX for ML

The stack

Stack overview
JAX: array computing
Flax NNX: neural nets
Optax: optimizers
Orbax: checkpointing
Orbax: model export
Grain: data loading
Chex: test utilities

Tutorials

Visualize JAX model metrics with TensorBoard
Introduction to Data Loaders
- Introduction to Data Loaders on CPU with JAX
- Introduction to Data Loaders on GPU with JAX
From PyTorch to JAX
- JAX for PyTorch users
- Porting a PyTorch model to JAX

Example applications

Train a miniGPT language model with JAX
Basic text classification with 1D CNN
Text classification with a transformer language model using JAX
Machine Translation with encoder-decoder transformer model
Image segmentation with UNETR model
Image Captioning with Vision Transformer (ViT) model
Train a Vision Transformer (ViT) for image classification with JAX
Time series classification with CNN

Developer resources

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By JAX team

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