Alternatives and similar repositories for awesome-spiking-neural-networks

Users that are interested in awesome-spiking-neural-networks are comparing it to the libraries listed below

• yfguo91 / Awesome-Spiking-Neural-Networks
  Awesome Spiking Neural Networks
  ☆134Updated 3 months ago
• pkuxmq / OTTT-SNN
  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks
  ☆62Updated last year
• NeuromorphicComputing / SoftHebb
  ☆79Updated last year
• IGITUGraz / eligibility_propagation
  ☆91Updated last year
• fangwei123456 / Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron
  Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks
  ☆108Updated 2 years ago
• nmi-lab / decolle-public
  ☆45Updated 2 years ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆104Updated 5 years ago
• NeuroBench / neurobench
  Benchmark harness and baseline results for the NeuroBench algorithm track.
  ☆79Updated this week
• fangwei123456 / Spike-Element-Wise-ResNet
  Deep Residual Learning in Spiking Neural Networks
  ☆168Updated 2 years ago
• chan8972 / Enabling_Spikebased_Backpropagation
  ☆34Updated 5 years ago
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆100Updated 4 years ago
• synsense / sinabs
  A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…
  ☆96Updated 2 weeks ago
• neuromorphs / tonic
  Event datasets and transforms.
  ☆247Updated 3 weeks ago
• Intelligent-Computing-Lab-Yale / BNTT-Batch-Normalization-Through-Time
  BNTT - Frontiers in Neuroscience (2021)
  ☆48Updated 3 years ago
• ChFrenkel / eprop-PyTorch
  PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.
  ☆51Updated 3 years ago
• Thvnvtos / SNN-delays
  Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]
  ☆59Updated last year
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆38Updated 3 years ago
• neuromorphs / NIR
  Neuromorphic Intermediate Representation reference implementation
  ☆117Updated last week
• byin-cwi / sFPTT
  FeedForward Propagation Through Time on Spiking Neural Network (SNNs)
  ☆55Updated 2 years ago
• byin-cwi / Efficient-spiking-networks
  Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT
  ☆81Updated 2 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
• norse / notebooks
  Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.
  ☆31Updated last year
• cowolff / Simple-Spiking-Neural-Network-STDP
  A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.
  ☆41Updated 9 months ago
• yhhhli / SNN_Calibration
  Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021
  ☆87Updated last year
• aa-samad / conv_snn
  Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper
  ☆131Updated 4 years ago
• Jackn0 / snn_optimal_conversion_pipeline
  Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
  ☆33Updated 3 years ago
• kamata1729 / FullySpikingVAE
  Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]
  ☆70Updated 2 years ago
• Intelligent-Computing-Lab-Yale / NDA_SNN
  Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.
  ☆40Updated 2 years ago
• eva1801 / DH-SNN
  ☆45Updated last year
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆31Updated last year