Simulation of spiking neural networks (SNNs) using PyTorch.
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Updated
May 23, 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.
Basic SNN propogating spikes between LIF neurons
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.
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
List of open source neuromorphic projects: SNN training frameworks, DVS handling routines and so on.
🔥 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。
A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.
Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule"
🔥🔥🔥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
Implementation of a Spiking Neural Network in Tensorflow.
spiking-neural-networks
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