Alternatives and similar repositories for ihmehimmeli:

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

• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆56Updated 6 years ago
• IGITUGraz / eligibility_propagation
  ☆90Updated last year
• BINDS-LAB-UMASS / bindsnet
  Simulation of spiking neural networks (SNNs) using PyTorch.
  ☆44Updated last year
• fzenke / auryn
  Auryn: A fast simulator for spiking neural networks with synaptic plasticity
  ☆100Updated last month
• BasBuller / PySNN
  Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration
  ☆226Updated 9 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
• IGITUGraz / LSNN-official
  Long short-term memory Spiking Neural Networks
  ☆102Updated 5 years ago
• fzenke / spytorch
  Tutorial for surrogate gradient learning in spiking neural networks
  ☆314Updated 9 months 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
• miladmozafari / SpykeTorch
  High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
  ☆386Updated 3 years ago
• BINDS-LAB-UMASS / bindsnet_experiments
  Collection of experimental Python and accompanying Bash scripts for training and evaluation of BindsNET networks.
  ☆66Updated 2 years ago
• iacolippo / Direct-Feedback-Alignment
  Experiments with Direct Feedback Alignment training scheme for DNNs
  ☆32Updated 8 years ago
• guillaume-chevalier / Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
  What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural net…
  ☆265Updated 2 years ago
• bamsumit / slayerPytorch
  PyTorch implementation of SLAYER for training Spiking Neural Networks
  ☆316Updated 2 weeks 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
• dannyneil / spiking_relu_conversion
  ☆71Updated 9 years ago
• IGITUGraz / LSM
  Liquid State Machines in Python and NEST
  ☆71Updated 4 years ago
• nmi-lab / decolle-public
  ☆45Updated 2 years ago
• ricardodeazambuja / Bee
  The Spiking Reservoir (Liquid State Machine - LSM) Simulator
  ☆57Updated last year
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆84Updated 7 years ago
• dacorvo / tensorsandbox
  My tensorflow sandbox
  ☆56Updated 5 years ago
• brian-team / brian2cuda
  A brian2 extension to simulate spiking neural networks on GPUs
  ☆63Updated 3 months ago
• nengo / nengo-dl
  Deep learning integration for Nengo
  ☆90Updated last month
• tartavull / snn-rl
  Reinforcement Learning for Spiking Neural Networks
  ☆83Updated 8 months ago
• nengo / nengo-loihi
  Run Nengo models on Intel's Loihi chip
  ☆38Updated last month
• brian-team / brian2genn
  Brian 2 frontend to the GeNN simulator
  ☆47Updated 8 months ago
• surrogate-gradient-learning / pytorch-lif-autograd
  ☆37Updated 3 years ago
• jinyyy666 / mm-bp-snn
  ☆32Updated 6 years ago
• L0SG / feedback-alignment-pytorch
  Implementation of feedback alignment learning in PyTorch
  ☆31Updated last year
• 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