Alternatives and similar repositories for ml_genn

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

• fzenke / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆349Updated last year
• synsense / rockpool
  A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…
  ☆75Updated last month
• IGITUGraz / eligibility_propagation
  ☆103Updated last year
• norse / notebooks
  Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.
  ☆33Updated last year
• neuromorphs / NIR
  Neuromorphic Intermediate Representation reference implementation
  ☆143Updated this week
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆231Updated last year
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆109Updated 5 years ago
• nmi-lab / decolle-public
  ☆46Updated 3 years ago
• neuromorphs / tonic
  Event datasets and transforms.
  ☆265Updated 2 months ago
• lava-nc / lava-dl
  Deep Learning library for Lava
  ☆170Updated this week
• BINDS-LAB-UMASS / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆44Updated last year
• byin-cwi / sFPTT
  FeedForward Propagation Through Time on Spiking Neural Network (SNNs)
  ☆59Updated 3 years ago
• NeuroBench / neurobench
  Benchmark harness and baseline results for the NeuroBench algorithm track.
  ☆103Updated 2 weeks 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 7 years ago
• NeuromorphicProcessorProject / snn_toolbox
  Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
  ☆390Updated 3 years ago
• lava-nc / lava-optimization
  Neuromorphic mathematical optimization with Lava
  ☆63Updated this week
• ChFrenkel / eprop-PyTorch
  PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.
  ☆57Updated 3 years ago
• miladmozafari / SpykeTorch
  High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
  ☆397Updated 4 years ago
• bamsumit / slayerPytorch
  PyTorch implementation of SLAYER for training Spiking Neural Networks
  ☆325Updated 7 months ago
• electronicvisions / lauscher
  ☆34Updated 4 months ago
• NeuromorphicComputing / SoftHebb
  ☆92Updated last year
• neural-reckoning / cosyne-tutorial-2022
  Cosyne workshop tutorial 2022
  ☆127Updated 3 years ago
• brian-team / brian2cuda
  A brian2 extension to simulate spiking neural networks on GPUs
  ☆66Updated last month
• intel-nrc-ecosystem / models
  This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform…
  ☆83Updated 2 years ago
• synsense / sinabs
  A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromo…
  ☆108Updated last month
• kmheckel / spyx
  Spyx: Spiking Neural Networks in JAX
  ☆130Updated 2 weeks ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 7 years ago
• vvvityaaa / awesome-spiking-neural-networks
  A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.
  ☆68Updated 3 years ago
• cowolff / Simple-Spiking-Neural-Network-STDP
  A simple from scratch implementation of a Spiking-Neural-Network with STDP in Python which is beeing trained on MNIST.
  ☆45Updated last year
• UCI-CARL / CARLsim6
  CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…
  ☆55Updated 2 months ago