Alternatives and similar repositories for assemblies

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

• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆158Updated 4 years ago
• FutureComputing4AI / Learning-with-Holographic-Reduced-Representations
  ☆30Updated 3 years ago
• ThomasMiconi / HebbianCNNPyTorch
  Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
  ☆39Updated 2 years ago
• google-deepmind / neural_networks_chomsky_hierarchy
  Neural Networks and the Chomsky Hierarchy
  ☆207Updated last year
• julestalloen / pytorch-hebbian
  A lightweight and flexible framework for Hebbian learning in PyTorch.
  ☆87Updated last year
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆31Updated 2 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆35Updated 5 years ago
• SelfishGene / neuron_as_deep_net
  Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021
  ☆156Updated 3 years ago
• DimaKrotov / Dense_Associative_Memory
  Example of Dense Associative Memory training on MNIST
  ☆38Updated 2 years ago
• djcrw / generalising-structural-knowledge
  ☆191Updated 2 years ago
• jordan-g / Burstprop
  Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.
  ☆37Updated 4 years ago
• NACLab / ngc-learn
  NGC-Learn: Neurobiological Systems Design and Simulation in Python
  ☆155Updated last week
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆14Updated last year
• mdabagia / learning-with-assemblies
  Code supporting the paper "Weakly Supervised Learning with Assemblies of Neurons", by Dabagia, Papadimitriou, and Vempala [2021].
  ☆26Updated last year
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆88Updated 4 years ago
• vicariousinc / naturecomm_cscg
  ☆41Updated 2 years ago
• BINDS-LAB-UMASS / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆43Updated last year
• 8erberg / spatially-embedded-RNN
  Repository for example implementation of spatially-embedded RNNs. See https://www.jachterberg.com/seRNN for more information.
  ☆46Updated 3 weeks ago
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆51Updated last year
• ago109 / predictive-forward-forward
  Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…
  ☆60Updated 2 years ago
• nengo / nengo-dl
  Deep learning integration for Nengo
  ☆91Updated 4 months ago
• DimaKrotov / Biological_Learning
  Example of "biological" learning for MNIST
  ☆298Updated 3 years ago
• neuroailab / TDANN
  Topographic Deep Artificial Neural Networks
  ☆52Updated 9 months ago
• NeuromorphicComputing / SoftHebb
  ☆81Updated last year
• linclab / EG_optimiser
  Pytorch optimiser for training ANNs with exponentiated gradient desent
  ☆19Updated 4 months ago
• kozleo / Building_Transformers_from_Neurons_and_Astrocytes
  Two self-contained notebooks to perform "weight transformer" from pretrained Transformer model to neuron-astrocyte network.
  ☆23Updated 2 years ago
• piantado / pychuriso
  Python implementation of churiso
  ☆19Updated 5 years ago
• ilennaj / ktree
  Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”
  ☆46Updated 4 years ago
• GabrieleLagani / HebbianLearningThesis
  Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
  ☆31Updated 3 years ago
• AlexDoumas / BrPong_1
  ☆10Updated last year