Snn Python Packages

snntorch

Deep and online learning with spiking neural networks in Python

spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

sc-neurocore

Universal Stochastic Computing Framework for Neuromorphic Hardware — Rust SIMD engine, Python simulation, Verilog RTL, HDC/VSA, SCPN integration

sinabs

A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.

tracetorch

A strict, ergonomic, and powerful library for SNNs, RNNs, and SSMs in PyTorch.

rockpool

A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.

spyx

Spyx: Spiking Neural Networks in JAX

btorch

Brain-inspired differentiable PyTorch toolkit for neuromorphic and computational neuroscience research

synaptic-ml

The TensorFlow for neuromorphic computing. Train spiking neural networks and deploy to Intel Loihi 2 at 1000x less energy than GPU.

spymem

An open-source package that offer fully-functional spike-based bio-inspired hippocampal memory models implemented with SNN technology in the SpiNNaker hardware in Python

snn-reservoir-py

Spiking Neural Network (SNN) – Reservoir Model with spike-based feature extraction

spyker

Spiking Deep Neural Networks Library

spikingflow

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.