Alternatives and similar repositories for neko

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

• IGITUGraz / eligibility_propagation
  ☆102Updated last year
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆109Updated 5 years ago
• nmi-lab / decolle-public
  ☆47Updated 3 years ago
• SRKH / S4NN
  Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…
  ☆64Updated 5 years ago
• lolemacs / pytorch-eventprop
  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks
  ☆53Updated 5 years ago
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆32Updated last year
• Laborieux-Axel / SynapticMetaplasticityBNN
  Paper submission
  ☆21Updated 2 years ago
• surrogate-gradient-learning / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆48Updated last year
• npvoid / neural_heterogeneity
  ☆31Updated last year
• fzenke / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆352Updated last year
• byin-cwi / sFPTT
  FeedForward Propagation Through Time on Spiking Neural Network (SNNs)
  ☆59Updated 3 years ago
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆39Updated 4 years ago
• Intelligent-Computing-Lab-Panda / BNTT-Batch-Normalization-Through-Time
  BNTT - Frontiers in Neuroscience (2021)
  ☆49Updated 4 years ago
• ChFrenkel / eprop-PyTorch
  PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.
  ☆58Updated 3 years ago
• npvoid / SparseSpikingBackprop
  ☆19Updated 3 years ago
• byin-cwi / Efficient-spiking-networks
  Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT
  ☆84Updated 2 years ago
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆231Updated last year
• bamsumit / slayerPytorch
  PyTorch implementation of SLAYER for training Spiking Neural Networks
  ☆325Updated 8 months ago
• anilkagak2 / FPTT
  Training Recurrent Neural Networks via Forward Propagation Through Time
  ☆42Updated 4 years ago
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆103Updated 4 years ago
• zbs881314 / Temporal-Coded-Deep-SNN
  ☆29Updated 5 years ago
• norse / notebooks
  Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.
  ☆33Updated last year
• KyungsuKim42 / ANTLR
  ☆17Updated 5 years ago
• NeuromorphicProcessorProject / snn_toolbox
  Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
  ☆392Updated 3 years ago
• jeshraghian / snn-tha
  Threshold annealing in binarized spiking neural networks
  ☆16Updated 3 years ago
• miladmozafari / SpykeTorch
  High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
  ☆397Updated 4 years ago
• chan8972 / Enabling_Spikebased_Backpropagation
  ☆34Updated 5 years ago
• pkuxmq / OTTT-SNN
  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
  ☆67Updated 2 years ago
• synsense / sinabs-exodus
  Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT
  ☆30Updated 10 months ago
• 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…
  ☆276Updated 3 years ago