flax 0.8.2

Flax: A neural network library for JAX designed for flexibility

Stars: 5443, Watchers: 5443, Forks: 582, Open Issues: 208

The google/flax repo was created 4 years ago and the last code push was an hour ago.
The project is extremely popular with a mindblowing 5443 github stars!

How to Install flax

You can install flax using pip

pip install flax

or add it to a project with poetry

poetry add flax

Package Details

Author

License

Homepage

PyPi:

https://pypi.org/project/flax/

GitHub Repo:

https://github.com/google/flax

Classifiers

• Scientific/Engineering/Artificial Intelligence

Related Packages

Errors

A list of common flax errors.

Code Examples

Here are some flax code examples and snippets.

GitHub Issues

The flax package has 208 open issues on GitHub

• Remove float32 dtype assumption
• Update download_dataset_metadata.sh
• Fix scope rewind-aliasing issue under transforms.
• Add design note about setup vs nn.compact
• Updates documentation flax.optim -> optax
• FLIP: default dtype
• Default dtype flip
• Update batching dimension comment.
• Scan with split parameters
• PJit example of ImageNet
• Inconsistent network behaviour when using different batch sizes for model.apply on CPU
• Complicated aliasing issue when passing modules as arguments in transforms
• Building JAX port of Detectron2
• Update bug_report.md
• WIP: Try to relax the constraint that attributes are immutable during setup(), while still having safe and correct cloning

See more issues on GitHub