Alternatives and similar repositories for pub2018superspike

Users that are interested in pub2018superspike are comparing it to the libraries listed below

• IGITUGraz / eligibility_propagation
  ☆91Updated last year
• eneftci / eCD
  Event-Driven CD in Spiking Neural Networks
  ☆20Updated 9 years ago
• tartavull / snn-rl
  Reinforcement Learning for Spiking Neural Networks
  ☆83Updated 10 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
• lolemacs / pytorch-eventprop
  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks
  ☆49Updated 4 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
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆104Updated 5 years ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆69Updated 6 years ago
• mackelab / multispike_tempotron
  To identify features by aggregate-label learning in spiking neurons
  ☆14Updated 7 years ago
• nmi-lab / decolle-public
  ☆45Updated 2 years ago
• dannyneil / spiking_relu_conversion
  ☆71Updated 9 years ago
• ricardodeazambuja / Bee
  The Spiking Reservoir (Liquid State Machine - LSM) Simulator
  ☆58Updated last year
• Shikhargupta / Spiking-Restricted-Boltzmann-Machine
  RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
  ☆29Updated 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
• zhouyanasd / DL-NC
  spiking-neural-networks
  ☆37Updated 5 months ago
• roberthangu / snn_object_recognition
  One-Shot Object Appearance Learning using Spiking Neural Networks
  ☆23Updated 6 years ago
• nmi-lab / dcll
  ☆42Updated 5 years ago
• BINDS-LAB-UMASS / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆44Updated last year
• chan8972 / Enabling_Spikebased_Backpropagation
  ☆34Updated 5 years ago
• SRKH / S4NN
  Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…
  ☆61Updated 4 years ago
• jinyyy666 / mm-bp-snn
  ☆32Updated 6 years ago
• fzenke / auryn
  Auryn: A fast simulator for spiking neural networks with synaptic plasticity
  ☆102Updated 3 months ago
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆38Updated 3 years ago
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆31Updated last year
• npvoid / neural_heterogeneity
  ☆31Updated 5 months ago
• norse / notebooks
  Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.
  ☆31Updated last year
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆163Updated 6 years ago
• dannyneil / edbn
  Event-based deep belief network offline training algorithm
  ☆22Updated 11 years ago
• IGITUGraz / LSM
  Liquid State Machines in Python and NEST
  ☆72Updated 4 years ago
• brian-team / brian2cuda
  A brian2 extension to simulate spiking neural networks on GPUs
  ☆63Updated 5 months ago