Alternatives and similar repositories for Dense_Associative_Memory:

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

• ago109 / predictive-forward-forward
  Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…
  ☆56Updated 2 years ago
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆49Updated last year
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆31Updated last year
• julestalloen / pytorch-hebbian
  A lightweight and flexible framework for Hebbian learning in PyTorch.
  ☆85Updated last year
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆151Updated 4 years ago
• NeuromorphicComputing / SoftHebb
  ☆73Updated 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 5 months ago
• jordan-g / Burstprop
  Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.
  ☆37Updated 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
• amassivek / signalpropagation
  Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
  ☆52Updated 2 years ago
• ykubo82 / bioCHL
  Neurons learn by predicting future activity
  ☆28Updated 3 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 last year
• NACLab / ngc-learn
  NGC-Learn: Neurobiological Systems Design and Simulation in Python
  ☆143Updated last week
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆76Updated 3 years ago
• willwx / sign-symmetry
  ☆28Updated 5 years ago
• iacolippo / Direct-Feedback-Alignment
  Experiments with Direct Feedback Alignment training scheme for DNNs
  ☆31Updated 8 years ago
• liukidar / pcx
  Predictive Coding JAX-based library
  ☆50Updated 3 weeks ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆34Updated 5 years ago
• vicariousinc / naturecomm_cscg
  ☆40Updated 2 years ago
• FutureComputing4AI / Learning-with-Holographic-Reduced-Representations
  ☆27Updated 3 years ago
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆13Updated last year
• ejmichaud / grokking-squared
  ☆25Updated 2 years ago
• jordan-g / PyTorch-Feedback-Alignment-Layers
  PyTorch implementation of linear and convolutional layers with fixed, random feedback weights.
  ☆14Updated 4 years ago
• linclab / EG_optimiser
  Pytorch optimiser for training ANNs with exponentiated gradient desent
  ☆18Updated last month
• NeuromorphicComputing / STPN
  ☆28Updated last year
• romanpogodin / towards-bio-plausible-conv
  ☆14Updated 3 years ago
• neuroailab / TDANN
  Topographic Deep Artificial Neural Networks
  ☆52Updated 6 months ago
• KietzmannLab / EmergentPredictiveCoding
  ☆38Updated last year
• Poirazi-Lab / dendrify
  Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.
  ☆38Updated 2 months ago
• ilennaj / ktree
  Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”
  ☆46Updated 4 years ago