Metadata-Version: 2.1
Name: slax
Version: 0.0.1
Summary: An SNN/RNN training package in JAX
Author-email: Thomas Summe <tsumme@nd.edu>
Project-URL: Homepage, https://github.com/Intelligent-Microsystems-Lab/slax
Project-URL: Issues, https://github.com/Intelligent-Microsystems-Lab/slax/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: flax >=0.7.1
Requires-Dist: optax
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: jax

# Slax

Slax is a JAX library built on top of Flax. Its purpose is to provide many learning rules and gradient approximations, with a heavy focus on training spiking neural networks. Some of these algorithms, however, are also applicable to any recurrent network.
