Alternatives and similar repositories for spikeflow

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

• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆56Updated 7 years ago
• fzenke / auryn
  Auryn: A fast simulator for spiking neural networks with synaptic plasticity
  ☆102Updated 4 months ago
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆229Updated last year
• dannyneil / spiking_relu_conversion
  ☆71Updated 9 years ago
• IGITUGraz / eligibility_propagation
  ☆93Updated last year
• 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
• ricardodeazambuja / Bee
  The Spiking Reservoir (Liquid State Machine - LSM) Simulator
  ☆58Updated last year
• google / ihmehimmeli
  ☆142Updated 4 years ago
• SpiNNakerManchester / sPyNNaker
  The SpiNNaker implementation of the PyNN neural networking language
  ☆112Updated last week
• eneftci / eCD
  Event-Driven CD in Spiking Neural Networks
  ☆20Updated 9 years ago
• NeuralEnsemble / PyNN
  A Python package for simulator-independent specification of neuronal network models.
  ☆293Updated last week
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆102Updated 5 years ago
• miladmozafari / SpykeTorch
  High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
  ☆390Updated 3 years ago
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆166Updated 6 years ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 6 years ago
• NeuromorphicProcessorProject / snn_toolbox
  Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
  ☆378Updated 2 years ago
• lolemacs / pytorch-eventprop
  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks
  ☆50Updated 4 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
• UCI-CARL / CARLsim4
  CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…
  ☆85Updated 2 years ago
• brian-team / brian2genn
  Brian 2 frontend to the GeNN simulator
  ☆47Updated 11 months ago
• BINDS-LAB-UMASS / snn-minibatch
  Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"
  ☆14Updated 5 years ago
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆31Updated last year
• fzenke / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆325Updated last year
• tartavull / snn-rl
  Reinforcement Learning for Spiking Neural Networks
  ☆82Updated 11 months ago
• nmi-lab / decolle-public
  ☆45Updated 3 years ago
• OFTNAI / Spike
  A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.
  ☆48Updated 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…
  ☆62Updated 4 years ago
• markstrefford / Spiking-Neural-Network
  Basic SNN propogating spikes between LIF neurons
  ☆86Updated 6 years ago
• mackelab / multispike_tempotron
  To identify features by aggregate-label learning in spiking neurons
  ☆14Updated 7 years ago
• Devrim-Celik / interactive_neuron_model_simulator
  Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…
  ☆69Updated 6 years ago