Alternatives and similar repositories for SynapticMetaplasticityBNN:

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

• kclip / snn
  Code for training binary and WTA SNNs
  ☆15Updated 2 years ago
• anilkagak2 / FPTT
  Training Recurrent Neural Networks via Forward Propagation Through Time
  ☆37Updated 3 years ago
• mackelab / multispike_tempotron
  To identify features by aggregate-label learning in spiking neurons
  ☆13Updated 6 years ago
• pvili / SpikingTimeDependentPlasticity
  The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predict…
  ☆10Updated 5 years ago
• lolemacs / pytorch-eventprop
  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks
  ☆49Updated 4 years ago
• nmi-lab / decolle-public
  ☆43Updated 2 years ago
• christophstoeckl / FS-neurons
  ☆50Updated 2 years ago
• IGITUGraz / eligibility_propagation
  ☆89Updated 10 months ago
• KyungsuKim42 / ANTLR
  ☆16Updated 4 years ago
• BINDS-LAB-UMASS / snn-minibatch
  Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"
  ☆14Updated 5 years ago
• stonezwr / TSSL-BP
  Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.
  ☆68Updated 9 months ago
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆29Updated 8 months ago
• nmi-lab / neural_sampling_machines
  ☆11Updated 2 years ago
• byin-cwi / SRNN-ICONs2020
  In this repo, Spiking recurrent neural network is applied on various task for ICONs2020
  ☆28Updated 4 years ago
• sujay-pandit / spiking-neural-networks-mnist-classification
  Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)
  ☆27Updated 2 years ago
• romainzimmer / s2net
  Supervised Spiking Network
  ☆79Updated 2 years ago
• nmi-lab / dcll
  ☆42Updated 5 years ago
• surrogate-gradient-learning / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆41Updated 5 months ago
• zhouyanasd / Paper-codes-of-SAES
  Codes of the paper of "Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines"
  ☆11Updated last year
• EPFL-LCN / pub-illing2021-neurips
  Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…
  ☆24Updated 8 months ago
• meulemansalex / theoretical_framework_for_target_propagation
  Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation
  ☆30Updated 2 months ago
• yjwu17 / Spike-Based-Hybrid-plasticity-Network
  ☆20Updated 3 years ago
• Intelligent-Computing-Lab-Yale / BNTT-Batch-Normalization-Through-Time
  BNTT - Frontiers in Neuroscience (2021)
  ☆47Updated 3 years ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆98Updated 4 years ago
• chan8972 / Enabling_Spikebased_Backpropagation
  ☆33Updated 4 years ago
• Jumaruba / SNN
  This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…
  ☆31Updated 4 years ago
• cortical-team / neko
  ☆17Updated 3 years ago
• nitin-rathi / hybrid-snn-conversion
  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
  ☆99Updated 3 years ago
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆56Updated 6 years ago
• Intelligent-Computing-Lab-Yale / Exploring-Lottery-Ticket-Hypothesis-in-SNNs
  Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)
  ☆32Updated 2 years ago