Alternatives and similar repositories for spikingburstprop:

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

• jordan-g / Burstprop
  Code to train on MNIST, CIFAR-10 and ImageNet using burstprop.
  ☆37Updated 3 years ago
• vicariousinc / naturecomm_cscg
  ☆40Updated 2 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
• 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
• ganguli-lab / grid-pattern-formation
  repository for grid cell network code
  ☆61Updated 2 years ago
• genn-team / ml_genn
  A library for deep learning with Spiking Neural Networks (SNN).
  ☆29Updated this week
• BerenMillidge / Predictive_Coding_Papers
  A repository collating interesting and/or influential predictive coding papers
  ☆77Updated 3 years ago
• jsalbert / biotorch
  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms
  ☆50Updated last year
• Poirazi-Lab / dendrify
  Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.
  ☆38Updated 3 months ago
• dtyulman / hebbff
  Meta-learning local synaptic plasticity for continual familiarity detection
  ☆16Updated 2 years ago
• alec-tschantz / predcoding
  A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)
  ☆15Updated 4 years ago
• machenslab / spikes
  Code for spike coding networks
  ☆15Updated 4 years ago
• ThomasMiconi / HebbianCNNPyTorch
  Automatic Hebbian learning in multi-layer convolutional networks with PyTorch, by expressing Hebbian plasticity rules as gradients
  ☆38Updated last year
• brian-team / brian2genn
  Brian 2 frontend to the GeNN simulator
  ☆47Updated 8 months ago
• liukidar / pcx
  Predictive Coding JAX-based library
  ☆54Updated last week
• ANNarchy / ANNarchy
  ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.
  ☆39Updated last week
• rkim35 / spikeRNN
  ☆37Updated 4 years ago
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆31Updated last year
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆56Updated 6 years ago
• sompolinsky-lab / dnn-object-manifolds
  ☆48Updated 3 years ago
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆34Updated 5 years ago
• thomasaimondy / SBP
  The biologically plausible self backpropagation on SNNs and ANNs
  ☆12Updated 3 years ago
• NeuromorphicComputing / STPN
  ☆28Updated last year
• nmasse / Short-term-plasticity-RNN
  Short-term plasticity RNN models in Tensorflow
  ☆34Updated 5 years ago
• brian-team / brian2cuda
  A brian2 extension to simulate spiking neural networks on GPUs
  ☆63Updated 3 months ago
• romanpogodin / towards-bio-plausible-conv
  ☆14Updated 3 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆21Updated last year
• dbersan / Predictive-Coding-Implementation
  Implementation of Predictive Coding model for transfer learning in PyTorch
  ☆16Updated last year
• norse / notebooks
  Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.
  ☆30Updated 10 months ago
• Devrim-Celik / interactive_neuron_model_simulator
  Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model et…
  ☆69Updated 6 years ago