Alternatives and similar repositories for lm-snn

Users that are interested in lm-snn are comparing it to the libraries listed below

• peter-u-diehl / stdp-mnist
  ☆349Updated 3 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
• markstrefford / Spiking-Neural-Network
  Basic SNN propogating spikes between LIF neurons
  ☆86Updated 7 years ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 6 years ago
• maael / SpikingNeuralNetwork
  A python implementation of a spiking neural network with STDP and Reinforcement learning methods
  ☆128Updated 8 years ago
• zxzhijia / Brian2STDPMNIST
  Brian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"
  ☆133Updated 4 years ago
• npvoid / SDNN_python
  ☆70Updated 3 years ago
• zhouyanasd / DL-NC
  spiking-neural-networks
  ☆37Updated 8 months ago
• nmi-lab / dcll
  ☆42Updated 6 years ago
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆229Updated last year
• 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
• 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
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆102Updated 4 years ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆103Updated 5 years ago
• laurence-lin / tempotron
  a spiking neural network module, tempotron for classification
  ☆17Updated 4 years ago
• roberthangu / snn_object_recognition
  One-Shot Object Appearance Learning using Spiking Neural Networks
  ☆23Updated 6 years ago
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆38Updated 3 years ago
• saunak1994 / SNNforMNIST
  A Spiking Neural Network Architecture for MNIST Digit Recognition
  ☆34Updated 7 years ago
• sujay-pandit / spiking-neural-networks-mnist-classification
  Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)
  ☆30Updated 3 years ago
• XDUSPONGE / SNN_benchmark
  ☆255Updated 4 years ago
• yjwu17 / STBP-for-training-SpikingNN
  Spatio-temporal BP for SNNs
  ☆231Updated 3 years ago
• bamsumit / slayerPytorch
  PyTorch implementation of SLAYER for training Spiking Neural Networks
  ☆320Updated 3 months ago
• BINDS-LAB-UMASS / bindsnet_experiments
  Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.
  ☆66Updated 2 years ago
• cowolff / Simple-Spiking-Neural-Network-STDP
  A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.
  ☆44Updated last year
• nmi-lab / decolle-public
  ☆45Updated 3 years ago
• AliLotfi92 / SNNLSTM
  Implementation of Long Short Term Spiking NN
  ☆39Updated 3 years ago
• IGITUGraz / eligibility_propagation
  ☆94Updated last year
• stonezwr / TSSL-BP
  Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
  ☆71Updated last year
• aa-samad / conv_snn
  Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
  ☆133Updated 4 years ago