Alternatives and similar repositories for HebbianCNNPyTorch

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

• julestalloen / pytorch-hebbian
  A lightweight and flexible framework for Hebbian learning in PyTorch.
  ☆95Updated last year
• meulemansalex / theoretical_framework_for_target_propagation
  Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation
  ☆32Updated last year
• NeuromorphicComputing / SoftHebb
  ☆91Updated last year
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆55Updated last year
• lolemacs / pytorch-eventprop
  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks
  ☆53Updated 5 years ago
• jordan-g / Burstprop
  Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.
  ☆38Updated 4 years ago
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆31Updated 2 years ago
• EPFL-LCN / pub-illing2021-neurips
  Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised cont…
  ☆25Updated last year
• GabrieleLagani / HebbianLearningThesis
  Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
  ☆31Updated 4 years ago
• romanpogodin / towards-bio-plausible-conv
  ☆14Updated 4 years ago
• willwx / sign-symmetry
  ☆28Updated 6 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆38Updated 5 years ago
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆165Updated 5 years ago
• apayeur / spikingburstprop
  Auryn-based simulation of multiplexing and burst-dependent plasticity
  ☆25Updated 4 years ago
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆14Updated last year
• ykubo82 / bioCHL
  Neurons learn by predicting future activity
  ☆30Updated 4 years ago
• fmi-basel / latent-predictive-learning
  Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…
  ☆29Updated 11 months ago
• liukidar / pcx
  Predictive Coding JAX-based library
  ☆86Updated 8 months ago
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆90Updated 4 years ago
• jordan-g / PyTorch-Feedback-Alignment-Layers
  PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.
  ☆14Updated 4 years ago
• NeuromorphicComputing / STPN
  ☆31Updated 2 years ago
• dicarlolab / vonenet
  Repository for VOneNet models
  ☆119Updated 11 months ago
• BINDS-LAB-UMASS / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆44Updated last year
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆71Updated 2 years ago
• IGITUGraz / eligibility_propagation
  ☆102Updated last year
• enajx / HebbianMetaLearning
  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
  ☆145Updated 4 years ago
• makrout / Deep-Learning-without-Weight-Transport
  Deep Learning without Weight Transport
  ☆36Updated 6 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 7 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…
  ☆89Updated 3 years ago
• vicariousinc / naturecomm_cscg
  ☆41Updated 3 years ago