Alternatives and similar repositories for slayerPytorch

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

• 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
• gorchard / event-Python
  Python code for event based vision
  ☆65Updated 5 years ago
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆229Updated last year
• neuromorphs / tonic
  Event datasets and transforms.
  ☆258Updated last week
• tudelft / cuSNN
  Spiking Neural Networks in C++ with strong GPU acceleration through CUDA
  ☆131Updated 5 years ago
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆38Updated 3 years ago
• XDUSPONGE / SNN_benchmark
  ☆255Updated 4 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
• miladmozafari / SpykeTorch
  High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
  ☆394Updated 4 years ago
• yjwu17 / STBP-for-training-SpikingNN
  Spatio-temporal BP for SNNs
  ☆232Updated 3 years ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 6 years ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆104Updated 5 years ago
• IGITUGraz / eligibility_propagation
  ☆96Updated last year
• nmi-lab / decolle-public
  ☆45Updated 3 years ago
• fzenke / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆335Updated last year
• aa-samad / conv_snn
  Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
  ☆134Updated 4 years ago
• lava-nc / lava-dl
  Deep Learning library for Lava
  ☆166Updated 2 months ago
• peter-u-diehl / stdp-mnist
  ☆351Updated 3 years ago
• npvoid / SDNN_python
  ☆70Updated 4 years ago
• nmi-lab / dcll
  ☆42Updated 6 years ago
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆102Updated 4 years ago
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆167Updated 6 years ago
• zxzhijia / Brian2STDPMNIST
  Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"
  ☆134Updated 4 years ago
• 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
• synsense / sinabs-exodus
  Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT
  ☆30Updated 6 months ago
• wangxiao5791509 / SNN_CV_Applications_Resources
  Paper list for SNN based computer vision tasks.
  ☆130Updated last year
• chan8972 / Enabling_Spikebased_Backpropagation
  ☆34Updated 5 years ago
• maael / SpikingNeuralNetwork
  A python implementation of a spiking neural network with STDP and Reinforcement learning methods
  ☆129Updated 8 years ago
• byin-cwi / Efficient-spiking-networks
  Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT
  ☆83Updated 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…
  ☆62Updated 4 years ago