Alternatives and similar repositories for spytorch

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

• miladmozafari / SpykeTorch
  High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
  ☆394Updated 4 years ago
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆229Updated last year
• norse / norse
  Deep learning with spiking neural networks (SNNs) in PyTorch.
  ☆760Updated 2 weeks ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆104Updated 5 years ago
• IGITUGraz / eligibility_propagation
  ☆96Updated last year
• 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…
  ☆269Updated 2 years ago
• norse / notebooks
  Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.
  ☆32Updated last year
• NeuromorphicProcessorProject / snn_toolbox
  Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
  ☆382Updated 2 years ago
• BINDS-LAB-UMASS / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆43Updated last year
• bamsumit / slayerPytorch
  PyTorch implementation of SLAYER for training Spiking Neural Networks
  ☆320Updated 4 months ago
• neuromorphs / tonic
  Event datasets and transforms.
  ☆258Updated last week
• lolemacs / pytorch-eventprop
  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks
  ☆52Updated 5 years ago
• genn-team / ml_genn
  A library for deep learning with Spiking Neural Networks (SNN).
  ☆34Updated this week
• byin-cwi / sFPTT
  FeedForward Propagation Through Time on Spiking Neural Network (SNNs)
  ☆57Updated 2 years ago
• neural-reckoning / cosyne-tutorial-2022
  Cosyne workshop tutorial 2022
  ☆122Updated 3 years ago
• npvoid / SDNN_python
  ☆70Updated 4 years ago
• neuromorphs / NIR
  Neuromorphic Intermediate Representation reference implementation
  ☆132Updated this week
• fmi-basel / latent-predictive-learning
  Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…
  ☆26Updated 8 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 3 months ago
• npvoid / neural_heterogeneity
  ☆31Updated 8 months ago
• NeuromorphicComputing / SoftHebb
  ☆86Updated last year
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆167Updated 6 years ago
• lava-nc / lava-dl
  Deep Learning library for Lava
  ☆166Updated 2 months 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…
  ☆70Updated 6 years ago
• maael / SpikingNeuralNetwork
  A python implementation of a spiking neural network with STDP and Reinforcement learning methods
  ☆129Updated 8 years ago
• ChFrenkel / eprop-PyTorch
  PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.
  ☆54Updated 3 years ago
• nmi-lab / decolle-public
  ☆45Updated 3 years ago
• vvvityaaa / awesome-spiking-neural-networks
  A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.
  ☆67Updated 3 years ago
• peter-u-diehl / stdp-mnist
  ☆351Updated 3 years ago
• kamata1729 / FullySpikingVAE
  Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]
  ☆73Updated 2 years ago