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 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.

🔥 This repo compiles top conference papers and code for Spiking Neural Networks research. The project is actively evolving. 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。

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.

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

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

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。

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.

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

Basic SNN propogating spikes between LIF neurons

Spyx: Spiking Neural Networks in JAX

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

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

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

Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule"