snn

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.

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

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

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

Basic SNN propogating spikes between LIF neurons

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

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

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

The Spiking Reservoir (Liquid State Machine - LSM) Simulator

spiking-neural-networks

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

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

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

Python library for easy creation and running of spiking neural networks in tensorflow.

[ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"

DRL with population coded spiking neural network for optimal and energy-efficient continuous control.