Alternatives and similar repositories for STPN

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

• NeuromorphicComputing / SoftHebb
  ☆91Updated last year
• 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
• IGITUGraz / eligibility_propagation
  ☆102Updated last year
• anilkagak2 / FPTT
  Training Recurrent Neural Networks via Forward Propagation Through Time
  ☆42Updated 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…
  ☆29Updated 11 months ago
• genn-team / ml_genn
  A library for deep learning with Spiking Neural Networks (SNN).
  ☆37Updated last week
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆55Updated last year
• enajx / HebbianMetaLearning
  Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
  ☆145Updated 4 years ago
• BINDS-LAB-UMASS / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆44Updated last year
• jordan-g / Burstprop
  Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.
  ☆38Updated 4 years ago
• PGI15 / snnax
  Spiking neural networks in JAX with equinox.
  ☆26Updated last year
• fzenke / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆349Updated last year
• ThomasMiconi / HebbianCNNPyTorch
  Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
  ☆40Updated 2 years ago
• ykubo82 / bioCHL
  Neurons learn by predicting future activity
  ☆30Updated 4 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆38Updated 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 last year
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆107Updated 5 years ago
• nmi-lab / decolle-public
  ☆46Updated 3 years ago
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆31Updated 2 years ago
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆231Updated last year
• kmheckel / spyx
  Spyx: Spiking Neural Networks in JAX
  ☆128Updated last month
• apayeur / spikingburstprop
  Auryn-based simulation of multiplexing and burst-dependent plasticity
  ☆25Updated 4 years ago
• NACLab / ngc-learn
  NGC-Learn: Neurobiological Systems Simulation and NeuroAI Design in Python
  ☆170Updated last week
• romanpogodin / towards-bio-plausible-conv
  ☆14Updated 4 years ago
• ago109 / predictive-forward-forward
  Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…
  ☆63Updated 2 years ago
• JulianGoeltz / fastAndDeep
  ☆23Updated last week
• dodo47 / SpikE
  Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".
  ☆14Updated 2 years ago
• tnowotny / genn_eventprop
  Implementation of eventprop learning in GeNN
  ☆14Updated 11 months ago
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆90Updated 4 years ago
• julestalloen / pytorch-hebbian
  A lightweight and flexible framework for Hebbian learning in PyTorch.
  ☆95Updated last year