Alternatives and similar repositories for RcTorch

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

• quantinfo / ng-rc-paper-code
  Code for the paper "Next Generation Reservoir Computing"
  ☆187Updated 2 weeks ago
• pvlachas / RNN-RC-Chaos
  RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…
  ☆97Updated 2 years ago
• pvlachas / RNN-Lyapunov-Spectrum
  A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
  ☆46Updated last year
• PlasmaControl / PyRCN
  A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
  ☆93Updated last year
• nschaetti / EchoTorch
  A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module ava…
  ☆485Updated last year
• reservoirpy / awesome-reservoir-computing
  Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).
  ☆60Updated 4 years ago
• reservoirpy / reservoirpy
  A simple and flexible code for Reservoir Computing architectures like Echo State Networks
  ☆598Updated last month
• E-Renshaw / kuramoto-sivashinsky
  A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB
  ☆28Updated 7 years ago
• jiahao42 / Reservoir
  Code for Reservoir computing (Echo state network)
  ☆61Updated 7 years ago
• stefanonardo / pytorch-esn
  An Echo State Network module for PyTorch.
  ☆233Updated 2 months ago
• kalekiu / easyesn
  Python library for Reservoir Computing using Echo State Networks
  ☆142Updated 4 years ago
• sdascoli / odeformer
  ☆70Updated last year
• gallicch / EulerStateNetworks
  ☆20Updated last year
• lucapedrelli / DeepESN
  Deep Echo State Network (DeepESN) Python library
  ☆126Updated 8 months ago
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆37Updated 2 years ago
• DurstewitzLab / ChaosRNN
  ☆20Updated 2 years ago
• dfloryan / neural-manifold-dynamics
  Reduced-order modelling using an atlas of charts
  ☆27Updated 3 years ago
• IGITUGraz / LSM
  Liquid State Machines in Python and NEST
  ☆75Updated 5 years ago
• helange23 / from_fourier_to_koopman
  Linear and non-linear spectral forecasting algorithms
  ☆138Updated 4 years ago
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆76Updated 2 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆75Updated 2 years ago
• manu-mannattil / nolitsa
  A Python module implementing some standard algorithms used in nonlinear time series analysis
  ☆191Updated last year
• FilippoMB / Time-series-classification-and-clustering-with-Reservoir-Computing
  Implement Reservoir Computing models for time series classification, clustering, forecasting, and much more!
  ☆410Updated 9 months ago
• stevenabreu7 / handson_reservoir
  Repository for paper "Hands-on reservoir computing" (NCE, 2022)
  ☆31Updated 2 years ago
• fabridamicelli / echoes
  Machine Learning with Echo State Networks, a scikit-learn compatible package.
  ☆44Updated 3 months ago
• cknd / pyESN
  Echo State Networks in Python
  ☆313Updated 5 years ago
• neuronalX / Oger
  Oger is a toolbox mainly used for Reservoir Computing neural networks, such as Echo State Networks (ESN) and Liquid State Machines (LSM)
  ☆21Updated 3 years ago
• fabridamicelli / kuramoto
  Python implementation of the Kuramoto model
  ☆164Updated 3 months ago
• jdppthk / parallelized-reservoir-computing
  This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the pa…
  ☆38Updated 5 years ago
• mlech26l / ode-lstms
  Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
  ☆119Updated 2 years ago