Alternatives and similar repositories for snnlibpy

Users that are interested in snnlibpy are comparing it to the libraries listed below

• takyamamoto / SNN-from-scratch-with-Python
  ☆78Updated 5 years ago
• HiroshiARAKI / snn_from_scratch
  本サンプルコードは「ゼロから学ぶスパイキングニューラルネットワーク」で取り扱っているコードをまとめたものです．
  ☆18Updated 5 years ago
• peter-u-diehl / stdp-mnist
  ☆358Updated 3 years ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 7 years ago
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆231Updated last year
• miladmozafari / SpykeTorch
  High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
  ☆397Updated 4 years ago
• NeuromorphicProcessorProject / snn_toolbox
  Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
  ☆390Updated 3 years ago
• IGITUGraz / eligibility_propagation
  ☆103Updated last year
• zxzhijia / Brian2STDPMNIST
  Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"
  ☆136Updated 4 years ago
• bamsumit / slayerPytorch
  PyTorch implementation of SLAYER for training Spiking Neural Networks
  ☆325Updated 8 months ago
• jmsbrcwll / SpikeProp
  spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals
  ☆18Updated 11 years ago
• guillaume-chevalier / Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
  What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…
  ☆275Updated 3 years ago
• stonezwr / TSSL-BP
  Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
  ☆73Updated last year
• BINDS-LAB-UMASS / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆44Updated last year
• Squirtle-gpj / STCA-DSNN
  This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.
  ☆28Updated 6 years ago
• haoyz / sym-STDP-SNN
  Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…
  ☆50Updated 5 years ago
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆39Updated 4 years ago
• maael / SpikingNeuralNetwork
  A python implementation of a spiking neural network with STDP and Reinforcement learning methods
  ☆133Updated 8 years ago
• chan8972 / Enabling_Spikebased_Backpropagation
  ☆34Updated 5 years ago
• aa-samad / conv_snn
  Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
  ☆137Updated 5 years ago
• kamata1729 / FullySpikingVAE
  Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]
  ☆74Updated 2 years ago
• SRKH / S4NN
  Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…
  ☆64Updated 5 years ago
• AliLotfi92 / SNNLSTM
  Implementation of Long Short Term Spiking NN
  ☆39Updated 3 years ago
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆171Updated 6 years ago
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆58Updated 7 years ago
• nmi-lab / decolle-public
  ☆46Updated 3 years ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆109Updated 5 years ago
• markstrefford / Spiking-Neural-Network
  Basic SNN propogating spikes between LIF neurons
  ☆87Updated 7 years ago
• fzenke / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆351Updated last year
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆102Updated 4 years ago