Alternatives and similar repositories for NWNsim:

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

• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 3 years ago
• nengo / nengo-examples
  Instructive examples using projects in the Nengo ecosystem
  ☆23Updated last year
• smonsays / equilibrium-propagation
  Fully documented Pytorch implementation of the Equilibrium Propagation algorithm.
  ☆33Updated 5 years ago
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆13Updated last year
• joksas / nonideality-aware-mnn-training
  Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”
  ☆12Updated last year
• 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
• nengo / pytorch-spiking
  Spiking neuron integration for PyTorch
  ☆40Updated 2 weeks ago
• reservoirpy / awesome-reservoir-computing
  Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).
  ☆46Updated 3 years ago
• Devrim-Celik / simple_echo_state_network
  Echo state network framework, NARMA10 dataset generator as an demonstration supplied.
  ☆18Updated 7 years ago
• chan8972 / Enabling_Spikebased_Backpropagation
  ☆33Updated 5 years ago
• IGITUGraz / LSM
  Liquid State Machines in Python and NEST
  ☆70Updated 4 years ago
• yjwu17 / Spike-Based-Hybrid-plasticity-Network
  ☆21Updated 3 years ago
• sinzlab / neural_cotraining
  The code for performing MTL on object recognition with neural data
  ☆15Updated 3 years ago
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆43Updated 3 years ago
• neuroailab / lr-identify
  A large database of artificial neural network statistics during training
  ☆15Updated 4 years ago
• wangsc1912 / rc_pndi
  [Nature Communications 2023] "Wearable in-sensor reservoir computing using optoelectronic polymers with through-space charge-transport ch…
  ☆11Updated 2 years ago
• sandialabs / Whetstone
  ☆48Updated 6 years ago
• brian-team / brian2genn
  Brian 2 frontend to the GeNN simulator
  ☆46Updated 6 months 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
• Abeegithan / MC-SEFRON
  ☆10Updated 5 years ago
• IGITUGraz / H-Mem
  Code for Limbacher, T. and Legenstein, R. (2020). H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
  ☆13Updated 2 years ago
• zhouyanasd / DL-NC
  spiking-neural-networks
  ☆36Updated 2 months ago
• 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
• arvoelke / nengolib
  Nengo library of additional extensions
  ☆29Updated last year
• lkriener / yin_yang_data_set
  This small deep learning dataset was developed for research on biologically plausible error-backpropagation and deep learning in spiking …
  ☆29Updated 2 months ago
• apayeur / spikingburstprop
  Auryn-based simulation of multiplexing and burst-dependent plasticity
  ☆23Updated 4 years ago
• cortical-team / neko
  ☆17Updated 3 years ago
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆56Updated 6 years ago
• ANNarchy / ANNarchy
  ANNarchy (Artificial Neural Networks architect) is a parallel simulator for rate-coded and spiking neural networks.
  ☆39Updated 2 weeks ago
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆30Updated last year