Alternatives and similar repositories for PyNNExamples:

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

• SpiNNakerManchester / sPyNNaker8
  The PyNN 0.8 interface to sPyNNaker.
  ☆19Updated 3 years ago
• SpiNNakerManchester / sPyNNaker
  The SpiNNaker implementation of the PyNN neural networking language
  ☆106Updated last week
• brian-team / brian2genn
  Brian 2 frontend to the GeNN simulator
  ☆46Updated 6 months ago
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆56Updated 6 years ago
• nmi-lab / torchneuromorphic
  Datasets recorded from Neuromorphic Sensors or Conversions using Simulations of Sensors
  ☆30Updated 11 months ago
• brian-team / brian2cuda
  A brian2 extension to simulate spiking neural networks on GPUs
  ☆62Updated 2 months ago
• tavanaei / Spiking-CNN
  Spiking Convolutional Neural Networks
  ☆67Updated 6 years ago
• nengo / nengo-loihi
  Run Nengo models on Intel's Loihi chip
  ☆38Updated 2 weeks ago
• NeuromorphicProcessorProject / snntoolbox_applications
  Collection of Spiking Neural Network applications for SNN Toolbox.
  ☆31Updated 4 years ago
• h-betz / NeuralNetwork
  Spiking Neural Network to identify spoken letters
  ☆8Updated 7 years ago
• 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
• brian-team / brian2tools
  Tools to use with Brian 2, in particular for visualization
  ☆17Updated 7 months ago
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆102Updated 5 years ago
• zhouyanasd / DL-NC
  spiking-neural-networks
  ☆36Updated 2 months ago
• IGITUGraz / eligibility_propagation
  ☆89Updated last year
• 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 last year
• electronicvisions / lauscher
  ☆22Updated last year
• nengo / nengo-examples
  Instructive examples using projects in the Nengo ecosystem
  ☆23Updated last year
• google / ihmehimmeli
  ☆141Updated 3 years ago
• UCI-CARL / CARLsim5
  CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…
  ☆18Updated 2 years ago
• sujay-pandit / spiking-neural-networks-mnist-classification
  Pure python implementation of unsupervised MNIST classification using Spiking Neural Networks (using STDP)
  ☆28Updated 3 years ago
• UCI-CARL / CARLsim4
  CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models w…
  ☆84Updated 2 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.
  ☆45Updated 5 years ago
• djsaunde / lm-snn
  Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.
  ☆157Updated 5 years ago
• KEDRI-AUT / snn-encoder-tools
  Data encoders
  ☆32Updated 4 years ago
• ANNarchy / ANNarchy
  ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.
  ☆39Updated 2 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
• 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
  ☆89Updated 2 weeks ago
• chrhenning / snn_global_pattern_induction
  Framework to train and simulate a spiking neural network (SNN) using Brian2, that implements a learning rule that combines STDP with a gl…
  ☆13Updated 6 years ago