Alternatives and similar repositories for Spiking-Restricted-Boltzmann-Machine

Users that are interested in Spiking-Restricted-Boltzmann-Machine are comparing it to the libraries listed below

• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆31Updated last year
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆56Updated 7 years ago
• markstrefford / Spiking-Neural-Network
  Basic SNN propogating spikes between LIF neurons
  ☆86Updated 7 years ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆103Updated 5 years ago
• IGITUGraz / LSM
  Liquid State Machines in Python and NEST
  ☆73Updated 4 years ago
• thomasaimondy / SBP
  The biologically plausible self backpropagation on SNNs and ANNs
  ☆12Updated 4 years ago
• ricardodeazambuja / Bee
  The Spiking Reservoir (Liquid State Machine - LSM) Simulator
  ☆58Updated last year
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 6 years ago
• djsaunde / spiketorch
  Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…
  ☆90Updated 7 years ago
• lolemacs / pytorch-eventprop
  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks
  ☆51Updated 4 years ago
• nmi-lab / dcll
  ☆42Updated 5 years ago
• BINDS-LAB-UMASS / snn-minibatch
  Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"
  ☆14Updated 5 years ago
• romainzimmer / s2net
  Supervised Spiking Network
  ☆81Updated 3 years 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
• mackelab / multispike_tempotron
  To identify features by aggregate-label learning in spiking neurons
  ☆14Updated 7 years ago
• jinyyy666 / mm-bp-snn
  ☆32Updated 6 years ago
• npvoid / neural_heterogeneity
  ☆31Updated 7 months ago
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆166Updated 6 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 / snntoolbox_applications
  Collection of Spiking Neural Network applications for SNN Toolbox.
  ☆33Updated 5 years ago
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆229Updated last year
• NeuromorphicProcessorProject / snn_toolbox
  Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
  ☆381Updated 2 years ago
• npvoid / SDNN_python
  ☆70Updated 3 years ago
• IGITUGraz / eligibility_propagation
  ☆93Updated last year
• ricardodeazambuja / SNN-Experiments
  Some of my initial studies using spiking neural networks and Python
  ☆37Updated 3 years ago
• BINDS-LAB-UMASS / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆43Updated last year
• jmsbrcwll / SpikeProp
  spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals
  ☆17Updated 11 years ago
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆38Updated 3 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
• sujay-pandit / spiking-neural-networks-mnist-classification
  Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)
  ☆30Updated 3 years ago