Alternatives and similar repositories for SNNs-In-Tensorflow

Users that are interested in SNNs-In-Tensorflow are comparing it to the libraries listed below

• SpikeFrame / TemporalEncoding
  Supervised learning in spiking neural networks for precise temporal encoding
  ☆18Updated 6 years ago
• zhouyanasd / DL-NC
  spiking-neural-networks
  ☆37Updated 7 months 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
• BINDS-LAB-UMASS / bindsnet_experiments
  Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.
  ☆66Updated 2 years ago
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆166Updated 6 years ago
• markstrefford / Spiking-Neural-Network
  Basic SNN propogating spikes between LIF neurons
  ☆86Updated 7 years ago
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆38Updated 3 years ago
• kastger / spiking-neural-network
  Learning with spiking neural networks using STDP synapses. Python, PyNN, NEST-simulator, numpy
  ☆10Updated 5 years ago
• tartavull / snn-rl
  Reinforcement Learning for Spiking Neural Networks
  ☆82Updated last year
• HBPNeurorobotics / snn_object_recognition
  Spiking CNN for object recognition
  ☆12Updated 8 years ago
• dannyneil / spiking_relu_conversion
  ☆71Updated 10 years ago
• Jumaruba / SNN
  This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…
  ☆32Updated 5 years ago
• dannyneil / edbn
  Event-based deep belief network offline training algorithm
  ☆22Updated 11 years ago
• romainzimmer / s2net
  Supervised Spiking Network
  ☆81Updated 3 years ago
• saunak1994 / SNNforMNIST
  A Spiking Neural Network Architecture for MNIST Digit Recognition
  ☆34Updated 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
• chan8972 / Enabling_Spikebased_Backpropagation
  ☆34Updated 5 years ago
• jmsbrcwll / SpikeProp
  spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals
  ☆17Updated 11 years ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 6 years ago
• ajaykarpur / tempotron-classifier
  Python implementation of a tempotron classifier for the MNIST dataset.
  ☆14Updated 6 years ago
• vikram-mm / Spiking-Neural-Network---Theano-Framework
  Spiking neural networks are biologically plausible CNNs which learn through a temporally dependent learning method known as Spike Time De…
  ☆10Updated 8 years ago
• jinyyy666 / mm-bp-snn
  ☆32Updated 6 years ago
• dmukhg / spiking
  pure-python implementation of a Spiking Neural Network
  ☆11Updated 7 months ago
• harshkothari410 / snn-image-segmentation
  This is project for image segmentation based on Spiking Neural Network
  ☆10Updated 9 years ago
• nmi-lab / decolle-public
  ☆45Updated 3 years ago
• HanSeokhyeon / Supervised-Learning-Based-on-Temporal-Coding-in-Spiking-Neural-Networks
  ☆14Updated 5 years ago
• maael / SpikingNeuralNetwork
  A python implementation of a spiking neural network with STDP and Reinforcement learning methods
  ☆128Updated 8 years ago
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆56Updated 7 years ago
• dieuwkehupkes / Tempotron
  ☆66Updated 3 years ago
• KEDRI-AUT / snn-encoder-tools
  Data encoders
  ☆33Updated 4 years ago