Alternatives and similar repositories for awesome-reservoir-computing

Users that are interested in awesome-reservoir-computing are comparing it to the libraries listed below

• quantinfo / ng-rc-paper-code
  Code for the paper "Next Generation Reservoir Computing"
  ☆182Updated 4 years ago
• PlasmaControl / PyRCN
  A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
  ☆93Updated last year
• reservoirpy / reservoirpy
  A simple and flexible code for Reservoir Computing architectures like Echo State Networks
  ☆571Updated this week
• fabridamicelli / echoes
  Machine Learning with Echo State Networks, a scikit-learn compatible package.
  ☆44Updated last week
• blindedjoy / RcTorch
  a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning
  ☆45Updated 2 years ago
• IGITUGraz / LSM
  Liquid State Machines in Python and NEST
  ☆73Updated 4 years ago
• pvlachas / RNN-RC-Chaos
  RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…
  ☆96Updated 2 years ago
• kalekiu / easyesn
  Python library for Reservoir Computing using Echo State Networks
  ☆139Updated 4 years ago
• Saran-nns / sorn
  PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym
  ☆38Updated last year
• GiorgiaD / PEPITA
  ☆29Updated 3 years ago
• nengo / pytorch-spiking
  Spiking neuron integration for PyTorch
  ☆41Updated 6 months ago
• stefanonardo / pytorch-esn
  An Echo State Network module for PyTorch.
  ☆228Updated last month
• fabridamicelli / kuramoto
  Python implementation of the Kuramoto model
  ☆158Updated 2 weeks ago
• williamgilpin / fnn
  Embed strange attractors using a regularizer for autoencoders
  ☆133Updated 4 years ago
• bertdv / BMLIP
  Course 5SSD0 - Bayesian Machine Learning and Information Processing
  ☆50Updated last month
• kmheckel / spyx
  Spyx: Spiking Neural Networks in JAX
  ☆125Updated 11 months ago
• electronicvisions / lauscher
  ☆27Updated 3 weeks ago
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 4 years ago
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆122Updated last week
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆60Updated last year
• neuronalX / Oger
  Oger is a toolbox mainly used for Reservoir Computing neural networks, such as Echo State Networks (ESN) and Liquid State Machines (LSM)
  ☆20Updated 3 years ago
• ciortanmadalina / EchoStateNetwork
  ☆26Updated 6 years ago
• stevenabreu7 / handson_reservoir
  Repository for paper "Hands-on reservoir computing" (NCE, 2022)
  ☆29Updated 2 years ago
• nschaetti / EchoTorch
  A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module ava…
  ☆479Updated last year
• gallicch / EulerStateNetworks
  ☆18Updated last year
• andresantoro / RHOSTS
  Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)
  ☆44Updated last year
• ajayarunachalam / pynmsnn
  NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch
  ☆32Updated 3 years ago
• conorheins / collective_motion_actinf
  Code for simulating collective motion from groups of continuous-time and -space active inference agents.
  ☆51Updated last year
• Poirazi-Lab / dendrify
  Introducing dendrites to spiking neural networks. Designed for the Brian 2 simulator.
  ☆43Updated 8 months ago
• lucapedrelli / DeepESN
  Deep Echo State Network (DeepESN) Python library
  ☆124Updated 5 months ago