Alternatives and similar repositories for dfa-dynamics

Users that are interested in dfa-dynamics are comparing it to the libraries listed below

• iacolippo / Direct-Feedback-Alignment
  Experiments with Direct Feedback Alignment training scheme for DNNs
  ☆32Updated 8 years ago
• meulemansalex / theoretical_framework_for_target_propagation
  Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation
  ☆32Updated 6 months ago
• anilkagak2 / FPTT
  Training Recurrent Neural Networks via Forward Propagation Through Time
  ☆41Updated 3 years ago
• ThomasMiconi / HebbianCNNPyTorch
  Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
  ☆38Updated last year
• ChFrenkel / DirectRandomTargetProjection
  PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…
  ☆66Updated 4 years ago
• lightonai / dfa-scales-to-modern-deep-learning
  Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…
  ☆88Updated 2 years ago
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆50Updated 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 last year
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆34Updated 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
• Laborieux-Axel / SynapticMetaplasticityBNN
  Paper submission
  ☆20Updated last year
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆31Updated last year
• jordan-g / PyTorch-Feedback-Alignment-Layers
  PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.
  ☆14Updated 4 years ago
• IGITUGraz / eligibility_propagation
  ☆90Updated last year
• NeuromorphicComputing / SoftHebb
  ☆77Updated last year
• dodo47 / SpikE
  Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".
  ☆13Updated 2 years ago
• romanpogodin / towards-bio-plausible-conv
  ☆14Updated 3 years ago
• nmi-lab / decolle-public
  ☆45Updated 2 years ago
• mackelab / multispike_tempotron
  To identify features by aggregate-label learning in spiking neurons
  ☆14Updated 7 years ago
• jordan-g / Burstprop
  Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.
  ☆37Updated 3 years ago
• SRKH / S4NN
  Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…
  ☆60Updated 4 years ago
• apayeur / spikingburstprop
  Auryn-based simulation of multiplexing and burst-dependent plasticity
  ☆23Updated 4 years ago
• willwx / sign-symmetry
  ☆28Updated 6 years ago
• ChFrenkel / eprop-PyTorch
  PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.
  ☆51Updated 3 years ago
• julestalloen / pytorch-hebbian
  A lightweight and flexible framework for Hebbian learning in PyTorch.
  ☆87Updated last year
• rda-ela / SNN-Adversarial-Attacks
  Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
  ☆12Updated 2 years ago
• NeuromorphicComputing / STPN
  ☆28Updated last year
• nmi-lab / neural_sampling_machines
  ☆11Updated 2 years ago
• kclip / snn
  Code for training binary and WTA SNNs
  ☆17Updated 3 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