There are 8 repositories under snn topic.
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.
🔥 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.
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。
List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.
Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.
🔥🔥🔥A collection of some awesome public SNN(Spiking Neural Network) projects.
Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
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
A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.
The Spiking Reservoir (Liquid State Machine - LSM) Simulator
A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.
DRL with population coded spiking neural network for optimal and energy-efficient continuous control.
Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule"
Leaky Integrate and Fire (LIF) model implementation for FPGA
spiking-neural-networks
Quantization-aware training with spiking neural networks
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
Python library for easy creation and running of spiking neural networks in tensorflow.
A project dedicated to developing a hardware Integrated Circuit (IC) for a Spike Neural Network (SNN), powered by the RTL code generated by ChatGPT-4 with advanced optimizations.
[ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"
code for generating data set ES-ImageNet with corresponding training code
Spiking neural network system
Implementation of a Spiking Neural Network in Tensorflow.
A curated list of awesome neuromorphic frameworks, libraries, resources, and other things
A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.