669 skills found · Page 1 of 23
fangwei123456 / SpikingjellySpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
jeshraghian / SnntorchDeep and online learning with spiking neural networks in Python
BindsNET / BindsnetSimulation of spiking neural networks (SNNs) using PyTorch.
Shikhargupta / Spiking Neural NetworkPure python implementation of SNN
brian-team / Brian2Brian is a free, open source simulator for spiking neural networks.
ridgerchu / SpikeGPTImplementation of "SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks"
norse / NorseDeep learning with spiking neural networks (SNNs) in PyTorch.
TheBrainLab / Awesome Spiking Neural NetworksA 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以及CNS论文和代码，正在持续更新中。
brainpy / BrainPyBrain Dynamics Programming in Python
D-ST-Sword / Mlx SnnSpiking Neural Network library built natively on Apple MLX
BrainCog-X / Brain CogBrain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.
SpikingChen / SNN Daily ArxivUpdate arXiv papers about Spiking Neural Networks daily.
AXYZdong / Awesome Snn Conference Paper🔥 This repository compiles research papers (from top-tier conferences and journals) and code implementations in the field of Spiking Neural Networks (SNNs). 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。
miladmozafari / SpykeTorchHigh-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
ZK-Zhou / SpikformerICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer
NeuromorphicProcessorProject / Snn ToolboxToolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
fzenke / SpytorchTutorial for surrogate gradient learning in spiking neural networks
bamsumit / SlayerPytorchPyTorch implementation of SLAYER for training Spiking Neural Networks
guillaume-chevalier / Spiking Neural Network SNN With PyTorch Where Backpropagation Engenders STDPWhat about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
genn-team / GennGeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA and AMD HIP.
