Welcome to Spyx’s documentation!

Spyx is a compact spiking neural network library built on top of DeepMind’s Haiku package.

Spyx promises the flexibility and extensibility offered by PyTorch-based SNN libraries while enabling extremely efficient training on high-performance hardware at speeds comparable to or faster than SNN frameworks that have custom CUDA implementataions.

Be sure to go give it a star on Github: kmheckel/spyx

Contents:

• Introduction
• Quickstart
• Surrogate Gradient Tutorial
• Training an SNN using Neuroevolution!
• A Comparison of Spiking Neuron Models.
• A Comparison of Surrogate Gradient Functions
• Surrogate Gradient Template
• API Reference

Indices and tables

• Index

• Module Index

• Search Page