Simulation of spiking neural networks (SNNs) using PyTorch.
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Updated
May 10, 2024 - Python
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
A paper list of spiking neural networks, including papers, codes, and related websites.
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
The Spiking Reservoir (Liquid State Machine - LSM) Simulator
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