Alternatives and similar repositories for Liquid

Users that are interested in Liquid 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
• dannyneil / edbn
  Event-based deep belief network offline training algorithm
  ☆22Updated 11 years ago
• ricardodeazambuja / Bee
  The Spiking Reservoir (Liquid State Machine - LSM) Simulator
  ☆59Updated 2 years ago
• fzenke / pub2018superspike
  Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.
  ☆58Updated 7 years ago
• tartavull / snn-rl
  Reinforcement Learning for Spiking Neural Networks
  ☆87Updated last year
• IGITUGraz / LSM
  Liquid State Machines in Python and NEST
  ☆76Updated 5 years ago
• petered / spiking-mlp
  A Spiking Multi-Layer Perceptron
  ☆33Updated 8 years ago
• jinyyy666 / mm-bp-snn
  ☆32Updated 7 years ago
• brian-team / brian
  Brian is a simulator for spiking neural networks available on almost all platforms. This is the legacy version that is no longer develope…
  ☆61Updated 3 years ago
• ThomasMiconi / BOHP_RNN
  Backprop training of recurrent neural networks with Hebbian plastic connections
  ☆20Updated 4 years ago
• m-colombo / Tensorflow-EchoStateNetwork
  Echo state network implementation on tensorflow
  ☆68Updated 6 years ago
• google / ihmehimmeli
  ☆144Updated 4 years ago
• sandialabs / Whetstone
  ☆49Updated 7 years ago
• sylvchev / simple_esn
  simple Echo State Networks integrated with scikit-learn
  ☆27Updated 6 years ago
• petered / uoro-demo
  ☆17Updated 5 years ago
• eneftci / eCD
  Event-Driven CD in Spiking Neural Networks
  ☆20Updated 9 years ago
• MarcoSaku / Spiking-C3D
  Convolutional 3D Spiking Neural Network to classify videos
  ☆14Updated 8 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆116Updated last year
• ModelDBRepository / 190565
  Supervised learning in spiking neural networks with FORCE training (Nicola & Clopath 2017)
  ☆21Updated 7 years ago
• FilippoMB / Bidirectional-Deep-readout-Echo-State-Network
  Multivariate time series classification with a bi-directional ESN with a deep neural network readout.
  ☆25Updated 10 months ago
• alexander-rakhlin / ESN
  Echo State Networks
  ☆43Updated 10 years ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆85Updated 8 years ago
• libilab / PCN-with-Global-Recurrent-Processing
  Code for "Deep predictive coding network for object recognition"
  ☆26Updated 5 years ago
• madvn / CTRNN
  Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)
  ☆44Updated 4 years ago
• ernoult / updatesEPgradientsBPTT
  Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input (NeurIPS 2019)
  ☆14Updated last year
• donghyunlee / dtp
  ☆35Updated 10 years ago
• KEDRI-AUT / snn-encoder-tools
  Data encoders
  ☆33Updated 4 years ago
• ricardodeazambuja / SNN-Experiments
  Some of my initial studies using spiking neural networks and Python
  ☆38Updated 3 years ago
• anokland / dfa-torch
  Training neural networks with back-prop, feedback-alignment and direct feedback-alignment
  ☆104Updated 8 years ago
• Shikhargupta / Spiking-Restricted-Boltzmann-Machine
  RBM implemented with spiking neurons in Python. Contrastive Divergence used to train the network.
  ☆29Updated 8 years ago