Simulation of spiking neural networks (SNNs) using PyTorch.

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

Deep and online learning with spiking neural networks in Python

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.

A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊论文和代码，正在持续更新中。

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.

List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.

🔥🔥🔥A collection of some awesome public SNN(Spiking Neural Network) projects.

Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.

Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper

Spyx: Spiking Neural Networks in JAX

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks

Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation

Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.

Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network

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

Basic SNN propogating spikes between LIF neurons

Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.

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