Alternatives and similar repositories for models

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

• NeuromorphicProcessorProject / snntoolbox_applications
  Collection of Spiking Neural Network applications for SNN Toolbox.
  ☆33Updated 5 years ago
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆102Updated 4 years ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆103Updated 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.
  ☆381Updated 2 years ago
• lava-nc / lava-dl
  Deep Learning library for Lava
  ☆165Updated last month
• nmi-lab / decolle-public
  ☆45Updated 3 years ago
• IGITUGraz / eligibility_propagation
  ☆93Updated last year
• neuromorphs / NIR
  Neuromorphic Intermediate Representation reference implementation
  ☆123Updated 2 weeks ago
• norse / notebooks
  Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.
  ☆32Updated last year
• ChFrenkel / eprop-PyTorch
  PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.
  ☆53Updated 3 years ago
• open-neuromorphic / open-neuromorphic
  A list of neuromorphic software projects
  ☆245Updated last month
• YigitDemirag / srnn-pcm
  PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses
  ☆21Updated 3 years ago
• jeshraghian / QSNNs
  Quantization-aware training with spiking neural networks
  ☆44Updated 3 years ago
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆31Updated last year
• NeuroBench / neurobench
  Benchmark harness and baseline results for the NeuroBench algorithm track.
  ☆88Updated 3 weeks 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…
  ☆102Updated last month
• MXHX7199 / SNN-SSTDP
  SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.
  ☆35Updated 3 years ago
• nmi-lab / dcll
  ☆42Updated 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
• byin-cwi / sFPTT
  FeedForward Propagation Through Time on Spiking Neural Network (SNNs)
  ☆55Updated 2 years ago
• NeuroCompLab-psu / SNN-Conversion
  ☆38Updated 3 years ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 6 years ago
• nengo / nengo-loihi
  Run Nengo models on Intel's Loihi chip
  ☆39Updated 5 months ago
• bamsumit / slayerPytorch
  PyTorch implementation of SLAYER for training Spiking Neural Networks
  ☆319Updated 2 months ago
• synsense / rockpool
  A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…
  ☆73Updated last month
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆229Updated last year
• XDUSPONGE / SNN_benchmark
  ☆255Updated 4 years ago
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆38Updated 3 years ago
• 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.
  ☆44Updated 11 months ago
• neuromorphs / tonic
  Event datasets and transforms.
  ☆253Updated 2 months ago