Alternatives and similar repositories for models

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

• lava-nc / lava-dl
  Deep Learning library for Lava
  ☆169Updated 2 weeks ago
• ChFrenkel / eprop-PyTorch
  PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.
  ☆57Updated 3 years ago
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆103Updated 4 years ago
• NeuromorphicProcessorProject / snn_toolbox
  Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
  ☆387Updated 2 years ago
• NeuromorphicProcessorProject / snntoolbox_applications
  Collection of Spiking Neural Network applications for SNN Toolbox.
  ☆34Updated 5 years ago
• nmi-lab / decolle-public
  ☆46Updated 3 years ago
• neuromorphs / NIR
  Neuromorphic Intermediate Representation reference implementation
  ☆142Updated 2 weeks ago
• nmi-lab / dcll
  ☆42Updated 6 years ago
• open-neuromorphic / open-neuromorphic
  A list of neuromorphic software projects
  ☆274Updated 5 months ago
• IGITUGraz / eligibility_propagation
  ☆102Updated last year
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆107Updated 5 years ago
• norse / notebooks
  Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.
  ☆33Updated last year
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 7 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…
  ☆109Updated last week
• YigitDemirag / srnn-pcm
  PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses
  ☆21Updated 4 years ago
• NeuroBench / neurobench
  Benchmark harness and baseline results for the NeuroBench algorithm track.
  ☆102Updated 4 months ago
• SRKH / S4NN
  Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…
  ☆64Updated 4 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.
  ☆45Updated last year
• jeshraghian / QSNNs
  Quantization-aware training with spiking neural networks
  ☆51Updated 3 years ago
• synsense / rockpool
  A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…
  ☆75Updated this week
• bamsumit / slayerPytorch
  PyTorch implementation of SLAYER for training Spiking Neural Networks
  ☆324Updated 6 months ago
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆231Updated last year
• neuromorphs / tonic
  Event datasets and transforms.
  ☆264Updated 2 months ago
• byin-cwi / sFPTT
  FeedForward Propagation Through Time on Spiking Neural Network (SNNs)
  ☆59Updated 2 years ago
• nengo / nengo-loihi
  Run Nengo models on Intel's Loihi chip
  ☆39Updated 9 months ago
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆32Updated last year
• miladmozafari / SpykeTorch
  High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
  ☆397Updated 4 years ago
• sujay-pandit / spiking-neural-networks-mnist-classification
  Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)
  ☆32Updated 3 years ago
• peter-u-diehl / stdp-mnist
  ☆357Updated 3 years ago
• surrogate-gradient-learning / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆46Updated last year