Alternatives and similar repositories for pytorch-lif-autograd

Users that are interested in pytorch-lif-autograd are comparing it to the libraries listed below

• nmi-lab / decolle-public
  ☆45Updated 3 years ago
• nmi-lab / dcll
  ☆42Updated 6 years ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆103Updated 5 years ago
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆102Updated 4 years ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 6 years ago
• stonezwr / TSSL-BP
  Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
  ☆71Updated last year
• IGITUGraz / eligibility_propagation
  ☆94Updated last year
• byin-cwi / Efficient-spiking-networks
  Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT
  ☆82Updated 2 years ago
• aa-samad / conv_snn
  Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
  ☆133Updated 4 years ago
• markstrefford / Spiking-Neural-Network
  Basic SNN propogating spikes between LIF neurons
  ☆86Updated 7 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…
  ☆47Updated 4 years ago
• AliLotfi92 / SNNLSTM
  Implementation of Long Short Term Spiking NN
  ☆39Updated 3 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…
  ☆269Updated 2 years ago
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆166Updated 6 years ago
• npvoid / SDNN_python
  ☆70Updated 3 years ago
• XDUSPONGE / SNN_benchmark
  ☆255Updated 4 years ago
• yjwu17 / STBP-for-training-SpikingNN
  Spatio-temporal BP for SNNs
  ☆231Updated 3 years ago
• maael / SpikingNeuralNetwork
  A python implementation of a spiking neural network with STDP and Reinforcement learning methods
  ☆128Updated 8 years ago
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆31Updated last year
• bamsumit / slayerPytorch
  PyTorch implementation of SLAYER for training Spiking Neural Networks
  ☆320Updated 3 months ago
• byin-cwi / SRNN-ICONs2020
  In this repo, Spiking recurrent neural network is applied on various task for ICONs2020
  ☆29Updated 4 years ago
• SRKH / S4NN
  Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…
  ☆62Updated 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.
  ☆382Updated 2 years ago
• romainzimmer / s2net
  Supervised Spiking Network
  ☆81Updated 3 years ago
• Intelligent-Computing-Lab-Panda / BNTT-Batch-Normalization-Through-Time
  BNTT - Frontiers in Neuroscience (2021)
  ☆48Updated 3 years ago
• zhouyanasd / DL-NC
  spiking-neural-networks
  ☆37Updated 7 months ago
• stonezwr / ST-RSBP
  ☆13Updated 4 years ago
• surrogate-gradient-learning / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆47Updated 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.
  ☆27Updated 6 years ago
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆229Updated last year