Alternatives and similar repositories for pytorch-hebbian:

Users that are interested in pytorch-hebbian are comparing it to the libraries listed below

• ThomasMiconi / HebbianCNNPyTorch
  Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
  ☆36Updated last year
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆151Updated 4 years ago
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆47Updated last year
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆73Updated 3 years ago
• liukidar / pcx
  Predictive Coding JAX-based library
  ☆49Updated last week
• enajx / HebbianMetaLearning
  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
  ☆136Updated 3 years ago
• ykubo82 / bioCHL
  Neurons learn by predicting future activity
  ☆27Updated 3 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆34Updated 5 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 5 months ago
• KietzmannLab / EmergentPredictiveCoding
  ☆38Updated last year
• 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
• infer-actively / pypc
  Predictive coding in Python
  ☆65Updated last year
• fmi-basel / latent-predictive-learning
  Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…
  ☆25Updated 2 months ago
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆61Updated 2 years ago
• vicariousinc / naturecomm_cscg
  ☆40Updated 2 years ago
• GabrieleLagani / HebbianLearningThesis
  Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
  ☆30Updated 3 years ago
• romanpogodin / towards-bio-plausible-conv
  ☆14Updated 3 years ago
• Poirazi-Lab / dendrify
  Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.
  ☆37Updated 2 months ago
• neuroailab / TDANN
  Topographic Deep Artificial Neural Networks
  ☆51Updated 5 months ago
• miladmozafari / predify
  ☆27Updated last year
• makrout / Deep-Learning-without-Weight-Transport
  Deep Learning without Weight Transport
  ☆34Updated 5 years ago
• DimaKrotov / Dense_Associative_Memory
  Example of Dense Associative Memory training on MNIST
  ☆35Updated 2 years ago
• fonsc / predictive-coding
  Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
  ☆29Updated 5 years ago
• miyosuda / predictive_coding
  Predictive Coding in the Visual Cortex: a Functional Interpretation of Some Extra-classical Receptive-field Effects
  ☆23Updated 5 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…
  ☆24Updated 11 months ago
• BINDS-LAB-UMASS / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆44Updated last year
• BerenMillidge / Theory_Associative_Memory
  repo for code for paper on general theory associative memory models
  ☆18Updated 2 years ago
• nengo / pytorch-spiking
  Spiking neuron integration for PyTorch
  ☆40Updated 2 weeks ago
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆30Updated last year
• alec-tschantz / predcoding
  A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)
  ☆15Updated 4 years ago