nTrouvain / re-ngrcLinks
[Re] Next Generation Reservoir Computing
☆10Updated 2 years ago
Alternatives and similar repositories for re-ngrc
Users that are interested in re-ngrc are comparing it to the libraries listed below
Sorting:
- Code for the paper "Next Generation Reservoir Computing"☆175Updated 3 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆94Updated 2 years ago
- a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning☆43Updated 2 years ago
- Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).☆51Updated 3 years ago
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆30Updated 3 years ago
- This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the pa…☆34Updated 5 years ago
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆44Updated 10 months ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆74Updated 2 years ago
- A simulation of the Kuramoto-Sivashinsky Equation in Python and MATLAB☆25Updated 6 years ago
- ☆62Updated 9 months ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆58Updated last year
- Stochastic Physics-Informed Neural Ordinary Differential Equations☆16Updated 2 years ago
- Repository for paper "Hands-on reservoir computing" (NCE, 2022)☆26Updated 2 years ago
- Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data. Chaos 27, 121102 (2017); https://doi.o…☆44Updated 5 years ago
- Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN☆41Updated 4 years ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- Matlab implementation of Echo State Network (reservoir computing)☆25Updated 7 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆74Updated 2 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆34Updated 4 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆55Updated 3 years ago
- ☆29Updated 6 years ago
- A computational framework for finding symbolic expressions from physical datasets.☆60Updated 2 years ago
- A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.☆92Updated 10 months ago
- Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting☆47Updated 5 months ago
- Consistent Koopman Autoencoders☆74Updated 2 years ago
- ☆41Updated 3 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆40Updated 4 years ago
- Echo state network framework, NARMA10 dataset generator as an demonstration supplied.☆18Updated 7 years ago
- Code for Reservoir computing (Echo state network)☆59Updated 6 years ago