Alternatives and similar repositories for pub-illing2021-neurips:

Users that are interested in pub-illing2021-neurips are comparing it to the libraries listed below

• 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
• ThomasMiconi / HebbianCNNPyTorch
  Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
  ☆38Updated last year
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆50Updated last year
• jordan-g / Burstprop
  Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.
  ☆37Updated 3 years ago
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆31Updated last year
• NeuromorphicComputing / SoftHebb
  ☆76Updated last year
• romanpogodin / towards-bio-plausible-conv
  ☆14Updated 3 years ago
• chan8972 / Enabling_Spikebased_Backpropagation
  ☆33Updated 5 years ago
• ykubo82 / bioCHL
  Neurons learn by predicting future activity
  ☆28Updated 3 years ago
• anilkagak2 / FPTT
  Training Recurrent Neural Networks via Forward Propagation Through Time
  ☆41Updated 3 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
• eva1801 / DH-SNN
  ☆44Updated last year
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆77Updated 3 years ago
• apayeur / spikingburstprop
  Auryn-based simulation of multiplexing and burst-dependent plasticity
  ☆23Updated 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
• vvvityaaa / awesome-spiking-neural-networks
  A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.
  ☆63Updated 2 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆34Updated 5 years ago
• Laborieux-Axel / SynapticMetaplasticityBNN
  Paper submission
  ☆20Updated last year
• NeuromorphicComputing / STPN
  ☆28Updated last year
• liukidar / pcx
  Predictive Coding JAX-based library
  ☆54Updated 2 weeks ago
• pkuxmq / IDE-FSNN
  [NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
  ☆29Updated 3 years ago
• ernoult / targetProp
  Testing Difference Target Propagation (DTP) on MNIST.
  ☆12Updated 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…
  ☆26Updated 3 months ago
• julestalloen / pytorch-hebbian
  A lightweight and flexible framework for Hebbian learning in PyTorch.
  ☆87Updated last year
• Intelligent-Computing-Lab-Yale / BNTT-Batch-Normalization-Through-Time
  BNTT - Frontiers in Neuroscience (2021)
  ☆47Updated 3 years ago
• sdascoli / dfa-dynamics
  ☆12Updated 3 years ago
• npvoid / SparseSpikingBackprop
  ☆19Updated 3 years ago
• ernoult / scalingDTP
  "Towards Scaling Difference Target Propagation by Learning Backprop Targets" (ICML 2022)
  ☆12Updated 2 years ago
• nmi-lab / decolle-public
  ☆45Updated 2 years ago
• genn-team / ml_genn
  A library for deep learning with Spiking Neural Networks (SNN).
  ☆29Updated this week