Alternatives and similar repositories for bioCHL

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

• NeuromorphicComputing / SoftHebb
  ☆92Updated 2 years ago
• 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
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆56Updated last year
• Poirazi-Lab / dendrify
  Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.
  ☆43Updated last week
• fmi-basel / latent-predictive-learning
  Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory…
  ☆30Updated last year
• fzenke / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆351Updated last year
• vvvityaaa / awesome-spiking-neural-networks
  A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.
  ☆68Updated 3 years ago
• ThomasMiconi / HebbianCNNPyTorch
  Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
  ☆40Updated 2 years ago
• IGITUGraz / eligibility_propagation
  ☆103Updated last year
• apayeur / spikingburstprop
  Auryn-based simulation of multiplexing and burst-dependent plasticity
  ☆25Updated 4 years ago
• NeuromorphicComputing / STPN
  ☆31Updated 2 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
• genn-team / ml_genn
  A library for deep learning with Spiking Neural Networks (SNN).
  ☆38Updated last month
• anilkagak2 / FPTT
  Training Recurrent Neural Networks via Forward Propagation Through Time
  ☆42Updated 4 years ago
• kamata1729 / FullySpikingVAE
  Official implementation of Fully Spiking Variational Autoencoder [AAAI2022]
  ☆74Updated 2 years ago
• byin-cwi / sFPTT
  FeedForward Propagation Through Time on Spiking Neural Network (SNNs)
  ☆59Updated 3 years ago
• 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
  ☆31Updated last year
• chan8972 / Enabling_Spikebased_Backpropagation
  ☆34Updated 5 years ago
• romanpogodin / towards-bio-plausible-conv
  ☆14Updated 4 years ago
• IGITUGraz / LSM
  Liquid State Machines in Python and NEST
  ☆76Updated 5 years ago
• NACLab / ngc-learn
  NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python
  ☆173Updated this week
• BerenMillidge / PredictiveCodingBackprop
  Code for the paper "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
  ☆168Updated 5 years ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆109Updated 5 years ago
• Thvnvtos / SNN-delays
  Official implementation of "Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings" [ICLR2024]
  ☆66Updated last year
• electronicvisions / lauscher
  ☆34Updated 4 months ago
• kmheckel / spyx
  Spyx: Spiking Neural Networks in JAX
  ☆131Updated 3 weeks ago
• GiorgiaD / PEPITA
  ☆29Updated 3 years ago