Alternatives and similar repositories for ssdfa:

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

• ChFrenkel / DirectRandomTargetProjection
  PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…
  ☆64Updated 3 years ago
• gatapia / unsupervised_bio_classifier
  PyTorch Implementation of “Unsupervised learning by competing hidden units” MNIST classifier
  ☆14Updated 5 years ago
• djsaunde / spiketorch
  Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…
  ☆90Updated 6 years ago
• mackelab / multispike_tempotron
  To identify features by aggregate-label learning in spiking neurons
  ☆13Updated 6 years ago
• willwx / sign-symmetry
  ☆27Updated 5 years ago
• team-approx-bayes / BayesBiNN
  Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule
  ☆37Updated 3 years ago
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆12Updated 10 months ago
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆30Updated last year
• chan8972 / Enabling_Spikebased_Backpropagation
  ☆33Updated 4 years ago
• petered / sigma-delta
  Contains Code for our Sigma-Delta Nets Paper
  ☆10Updated 8 years ago
• h-betz / NeuralNetwork
  Spiking Neural Network to identify spoken letters
  ☆8Updated 7 years ago
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆56Updated 6 years ago
• nmi-lab / decolle-public
  ☆43Updated 2 years ago
• meulemansalex / theoretical_framework_for_target_propagation
  Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation
  ☆31Updated 2 months ago
• iacolippo / Direct-Feedback-Alignment
  Experiments with Direct Feedback Alignment training scheme for DNNs
  ☆31Updated 7 years ago
• ThomasMiconi / HebbianCNNPyTorch
  Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
  ☆37Updated last year
• nmi-lab / neural_sampling_machines
  ☆11Updated 2 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
• 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
• SpikeFrame / TemporalEncoding
  Supervised learning in spiking neural networks for precise temporal encoding
  ☆18Updated 5 years ago
• jordan-g / Burstprop
  Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.
  ☆37Updated 3 years ago
• jmsbrcwll / SpikeProp
  spiking neural network implementing the SpikeProp algorithm for the improvement of beat detection in heart sound signals
  ☆17Updated 10 years ago
• IGITUGraz / eligibility_propagation
  ☆89Updated 10 months ago
• pkuxmq / IDE-FSNN
  [NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
  ☆28Updated 3 years ago
• nengo / nengo-examples
  Instructive examples using projects in the Nengo ecosystem
  ☆23Updated last year
• xuexue / randombp
  Demo: Slightly More Bio-Plausible Backprop
  ☆21Updated 7 years ago
• jordan-g / PyTorch-Feedback-Alignment-Layers
  PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.
  ☆13Updated 3 years ago
• IGITUGraz / H-Mem
  Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
  ☆13Updated 2 years ago
• sdascoli / dfa-dynamics
  ☆12Updated 3 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆31Updated 5 years ago