Alternatives and similar repositories for Whetstone

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

• djsaunde / spiketorch
  Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this pro…
  ☆90Updated 7 years ago
• nengo / nengo-examples
  Instructive examples using projects in the Nengo ecosystem
  ☆23Updated last year
• nengo / nengo-loihi
  Run Nengo models on Intel's Loihi chip
  ☆39Updated 6 months ago
• lolemacs / pytorch-eventprop
  A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks
  ☆52Updated 5 years ago
• NeuromorphicProcessorProject / snntoolbox_applications
  Collection of Spiking Neural Network applications for SNN Toolbox.
  ☆34Updated 5 years ago
• 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…
  ☆84Updated 2 years ago
• brian-team / brian2genn
  Brian 2 frontend to the GeNN simulator
  ☆48Updated last month
• IGITUGraz / eligibility_propagation
  ☆96Updated last year
• brian-team / brian2cuda
  A brian2 extension to simulate spiking neural networks on GPUs
  ☆65Updated 9 months ago
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆229Updated last year
• ChFrenkel / DirectRandomTargetProjection
  PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct fe…
  ☆66Updated 4 years ago
• sagacitysite / brian2_loihi
  A Loihi emulator based on Brian2
  ☆29Updated 3 years ago
• romainzimmer / s2net
  Supervised Spiking Network
  ☆81Updated 3 years ago
• google / ihmehimmeli
  ☆142Updated 4 years ago
• BINDS-LAB-UMASS / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆43Updated last year
• ricardodeazambuja / Bee
  The Spiking Reservoir (Liquid State Machine - LSM) Simulator
  ☆58Updated 2 years ago
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆56Updated 7 years ago
• OFTNAI / Spike
  A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.
  ☆48Updated 5 years ago
• SRKH / S4NN
  Temporal backpropagation for spiking neural networks with one spike per neuron, by S. R. Kheradpisheh and T. Masquelier, International Jo…
  ☆62Updated 4 years ago
• neuromorphs / NIR
  Neuromorphic Intermediate Representation reference implementation
  ☆132Updated last week
• Shikhargupta / Spiking-Restricted-Boltzmann-Machine
  RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
  ☆29Updated 7 years ago
• nengo / nengo-dl
  Deep learning integration for Nengo
  ☆91Updated 6 months ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆104Updated 5 years ago
• electronicvisions / norse
  Deep learning for spiking neural networks
  ☆69Updated last year
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆37Updated 5 years ago
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆31Updated last year
• NeuromorphicProcessorProject / snn_toolbox
  Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
  ☆382Updated 2 years ago
• SpiNNakerManchester / sPyNNaker
  The SpiNNaker implementation of the PyNN neural networking language
  ☆113Updated last week
• nmi-lab / neural_sampling_machines
  ☆11Updated 2 years ago
• UCI-CARL / CARLsim3
  CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…
  ☆58Updated 7 years ago