Pretrained models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet.

Overview
flax

Flax Models

A collection of pretrained models in Flax.

About

The goal of this project is to make current deep learning models more easily available for the awesome Jax/Flax ecosystem.

Models

Example Notebooks to play with on Colab

Installation

You will need Python 3.7 or later.

  1. For GPU usage, follow the Jax installation with CUDA.
  2. Then install:
    > pip install --upgrade git+https://github.com/matthias-wright/flaxmodels.git

For CPU-only you can skip step 1.

Documentation

The documentation for the models is on the individual model pages.

Testing

To run the tests, pytest needs to be installed.

> git clone https://github.com/matthias-wright/flaxmodels.git
> cd flaxmodels
> python -m pytest tests/

Acknowledgments

Thank you to the developers of Jax and Flax. The title image is a photograph of a flax flower, kindly made available by Marta Matyszczyk.

License

Each model has an individual license.

Owner
Matthias Wright
PhD Student in Computer Vision @ Heidelberg University
Matthias Wright
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