Alternatives and similar repositories for awesome-computational-neuro-science

Users that are interested in awesome-computational-neuro-science are comparing it to the libraries listed below

• genn-team / ml_genn
  A library for deep learning with Spiking Neural Networks (SNN).
  ☆29Updated last week
• 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
• Jumaruba / SNN
  This is a repository with implementations of neuron models, synapses, and spiking neural networks (SNN). It's still in development and it…
  ☆31Updated 4 years ago
• brian-team / brian2cuda
  A brian2 extension to simulate spiking neural networks on GPUs
  ☆63Updated 4 months ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆102Updated 5 years ago
• brian-team / brian2genn
  Brian 2 frontend to the GeNN simulator
  ☆47Updated 8 months ago
• synsense / rockpool
  A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorph…
  ☆65Updated last week
• norse / notebooks
  Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.
  ☆30Updated 10 months ago
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆56Updated 6 years ago
• zhouyanasd / DL-NC
  spiking-neural-networks
  ☆37Updated 3 months 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
• open-neuromorphic / coding
  Coding projects by the community for the community
  ☆19Updated 3 weeks 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
• UCI-CARL / CARLsim6
  CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…
  ☆48Updated 3 weeks ago
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆31Updated last year
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆68Updated 6 years ago
• nmi-lab / decolle-public
  ☆45Updated 2 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.
  ☆40Updated 8 months ago
• IGITUGraz / eligibility_propagation
  ☆90Updated last year
• nengo / nengo-loihi
  Run Nengo models on Intel's Loihi chip
  ☆38Updated last month
• sagacitysite / brian2_loihi
  A Loihi emulator based on Brian2
  ☆29Updated 3 years ago
• IbrahimYang / Hybrid-neural-networks
  ☆37Updated last year
• neural-reckoning / cosyne-tutorial-2022
  Cosyne workshop tutorial 2022
  ☆115Updated 2 years ago
• neuromorphs / NIR
  Neuromorphic Intermediate Representation reference implementation
  ☆102Updated last week
• SRKH / S4NN
  Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…
  ☆60Updated 4 years ago
• haoyz / sym-STDP-SNN
  Code for the model presented in the paper "A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symm…
  ☆47Updated 4 years ago
• markstrefford / Spiking-Neural-Network
  Basic SNN propogating spikes between LIF neurons
  ☆84Updated 6 years ago
• neuromorphs / tonic
  Event datasets and transforms.
  ☆237Updated 3 weeks ago
• electronicvisions / lauscher
  ☆22Updated last year
• Shikhargupta / Spiking-Restricted-Boltzmann-Machine
  RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
  ☆29Updated 7 years ago