IGITUGraz / eligibility_propagation

Related projects: ⓘ

• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆97Updated 4 years ago
• ChFrenkel / eprop-PyTorch
  PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.
  ☆47Updated 2 years ago
• nmi-lab / decolle-public
  ☆42Updated 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…
  ☆59Updated 3 years ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆62Updated 5 years ago
• npvoid / neural_heterogeneity
  ☆25Updated 2 years ago
• norse / notebooks
  Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.
  ☆25Updated 3 months ago
• byin-cwi / sFPTT
  FeedForward Propagation Through Time on Spiking Neural Network (SNNs)
  ☆41Updated last year
• genn-team / ml_genn
  A library for deep learning with Spiking Neural Networks (SNN).
  ☆23Updated this week
• byin-cwi / Efficient-spiking-networks
  Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT
  ☆75Updated last year
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆36Updated 2 years ago
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆29Updated 4 months ago
• nmi-lab / dcll
  ☆41Updated 5 years ago
• sujay-pandit / spiking-neural-networks-mnist-classification
  Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)
  ☆25Updated 2 years ago
• chan8972 / Enabling_Spikebased_Backpropagation
  ☆32Updated 4 years ago
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆94Updated 3 years ago
• anilkagak2 / FPTT
  Training Recurrent Neural Networks via Forward Propagation Through Time
  ☆32Updated 3 years ago
• surrogate-gradient-learning / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆35Updated last month
• intel-nrc-ecosystem / models
  This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…
  ☆81Updated 11 months ago
• lolemacs / pytorch-eventprop
  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks
  ☆48Updated 3 years ago
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆54Updated 6 years ago
• juliancervos / stdp-nmnist
  Repository for the master thesis titled "Local Unsupervised Learning of Multimodal Event-Based Data with Spiking Neural Networks", by Jul…
  ☆21Updated 2 years ago
• thomasaimondy / SBP
  The biologically plausible self backpropagation on SNNs and ANNs
  ☆11Updated 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…
  ☆48Updated last month
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆148Updated 5 years ago
• MXHX7199 / SNN-SSTDP
  SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.
  ☆31Updated 2 years ago
• Squirtle-gpj / STCA-DSNN
  This repo is the implementation of the spatio-temporal credit assignment （STCA） algorithm for training deep spiking neural networks.
  ☆24Updated 5 years ago
• IbrahimYang / Hybrid-neural-networks
  ☆32Updated 9 months ago
• markstrefford / Spiking-Neural-Network
  Basic SNN propogating spikes between LIF neurons
  ☆79Updated 6 years ago
• JulianGoeltz / fastAndDeep
  ☆20Updated 2 months ago