Alternatives and similar repositories for re-ngrc

Users that are interested in re-ngrc are comparing it to the libraries listed below

• quantinfo / ng-rc-paper-code
  Code for the paper "Next Generation Reservoir Computing"
  ☆186Updated 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
• PlasmaControl / PyRCN
  A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.
  ☆93Updated last year
• pvlachas / RNN-Lyapunov-Spectrum
  A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
  ☆46Updated last year
• samuelkim314 / DeepSymReg
  Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
  ☆77Updated 2 years ago
• blindedjoy / RcTorch
  a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning
  ☆46Updated 2 years ago
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆59Updated 3 years ago
• JayLago / DLDMD
  Deep learning assisted dynamic mode decomposition
  ☆19Updated 4 years ago
• samuelkim314 / DeepSymRegTorch
  PyTorch implementation of the EQL network, a neural network for symbolic regression
  ☆42Updated 4 years ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆64Updated last year
• zabaras / transformer-physx
  Transformers for modeling physical systems
  ☆145Updated 2 years ago
• Boris-73-TA / OrthogPolyKANs
  Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.
  ☆39Updated last year
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆37Updated 2 years ago
• luckystarufo / multiscale_HiTS
  ☆73Updated 5 years ago
• dynamicslab / SINDy-PI
  SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
  ☆157Updated 4 years ago
• pooyasf / DGM
  Solving High Dimensional Partial Differential Equations with Deep Neural Networks
  ☆34Updated 3 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆75Updated 2 years 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
• japlatt / BasicReservoirComputing
  Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents
  ☆31Updated 3 years ago
• luckystarufo / pySINDy
  SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
  ☆79Updated 3 years ago
• differint / differint
  Python package for calculating fractional derivatives.
  ☆60Updated last year
• jpzxshi / learner
  ☆23Updated 5 months ago
• william-redman / Koopman-Neural-Network-Training
  Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…
  ☆21Updated 2 years ago
• sdascoli / odeformer
  ☆69Updated last year
• clegaard / deep_learning_for_dynamical_systems
  ☆89Updated 2 years ago
• stevenabreu7 / handson_reservoir
  Repository for paper "Hands-on reservoir computing" (NCE, 2022)
  ☆31Updated 2 years ago
• jkneifl / VENI-VINDy-VICI
  An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification
  ☆35Updated 9 months ago
• isds-neu / PiSL
  A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.
  ☆27Updated 4 years ago
• mathLab / PyDMD
  mathLab mirror of Python Dynamic Mode Decomposition
  ☆109Updated 9 months ago
• jtoleary / SPINODE
  Stochastic Physics-Informed Neural Ordinary Differential Equations
  ☆19Updated 3 years ago