japlatt / BasicReservoirComputing
Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents
☆30Updated 2 years ago
Alternatives and similar repositories for BasicReservoirComputing:
Users that are interested in BasicReservoirComputing are comparing it to the libraries listed below
- Spatio-temporal forecasting of Lorenz96 with RC-ESN, RNN-LSTM and ANN☆40Updated 4 years ago
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆43Updated 9 months ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆94Updated 2 years ago
- Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.☆17Updated last year
- Deep learning assisted dynamic mode decomposition☆19Updated 3 years ago
- PySensors is a Python package for sparse sensor placement☆90Updated this week
- Kernel methods for statistical modeling of dynamical systems☆24Updated 3 months ago
- This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the pa…☆34Updated 5 years ago
- Discovers high dimensional models from 1D data using deep delay autoencoders☆34Updated 2 years ago
- Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.☆42Updated 2 years ago
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆35Updated 3 years ago
- Consistent Koopman Autoencoders☆74Updated last year
- This Python package aims at providing tools to study stochastic processes: integrate SDEs, solve Fokker-Planck equations, sample rare eve…☆11Updated 4 years ago
- ☆20Updated 2 years ago
- Code for the paper "Auto differentiable Ensemble Kalman Filters" (https://arxiv.org/abs/2107.07687), accepted for publication in SIAM Jou…☆31Updated 2 years ago
- a PyTorch based Reservoir Computing package with Automatic Hyper-Parameter Tuning☆44Updated 2 years ago
- ☆32Updated last year
- ☆35Updated last year
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆49Updated last year
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆74Updated 2 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆34Updated 4 years ago
- Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)☆57Updated 2 years ago
- ☆41Updated 7 years ago
- Reduced-order modelling using an atlas of charts☆25Updated 2 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- ☆21Updated 4 years ago
- Linear and non-linear spectral forecasting algorithms☆136Updated 4 years ago
- ☆13Updated 6 months ago
- ☆35Updated 3 years ago
- Research project conducted at Pacific Northwest National Laboratory, exploring the use of physics-informed autoencoders to predict fluid …☆35Updated 2 years ago