Linear and non-linear spectral forecasting algorithms
☆139Feb 12, 2021Updated 5 years ago
Alternatives and similar repositories for from_fourier_to_koopman
Users that are interested in from_fourier_to_koopman are comparing it to the libraries listed below
Sorting:
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆35Jan 22, 2022Updated 4 years ago
- Consistent Koopman Autoencoders☆75May 23, 2023Updated 2 years ago
- ☆30Jun 7, 2018Updated 7 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆50Nov 15, 2020Updated 5 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆93Apr 5, 2021Updated 4 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆44May 28, 2019Updated 6 years ago
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆32Jan 15, 2022Updated 4 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆31Jul 30, 2022Updated 3 years ago
- Time-varying Autoregression with Low Rank Tensors☆16Jul 29, 2021Updated 4 years ago
- ☆29Mar 18, 2020Updated 6 years ago
- ☆19Dec 2, 2020Updated 5 years ago
- A package for computing data-driven approximations to the Koopman operator.☆417Jan 22, 2026Updated 2 months ago
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆40Dec 28, 2018Updated 7 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆31Dec 8, 2022Updated 3 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Jan 13, 2024Updated 2 years ago
- ☆11Apr 14, 2022Updated 3 years ago
- SATCN for Kriging☆16Jun 8, 2022Updated 3 years ago
- ☆17Aug 6, 2024Updated last year
- Python Dynamic Mode Decomposition☆1,199Dec 19, 2025Updated 3 months ago
- ☆380Oct 15, 2021Updated 4 years ago
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆161Oct 28, 2025Updated 4 months ago
- This repo was created for sharing academic notes and files☆19Jul 24, 2025Updated 7 months ago
- Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation☆846Apr 11, 2025Updated 11 months ago
- Experiment with Neural ODE on Pytorch☆14Aug 9, 2019Updated 6 years ago
- Spanwise-averaged Navier–Stokes modelling through convolutional neural network☆14May 17, 2024Updated last year
- DeepGreen network written in Tensorflow 2☆32Feb 11, 2026Updated last month
- A library for Koopman Neural Operator with Pytorch.☆324Oct 5, 2024Updated last year
- Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forcea…☆37Sep 9, 2025Updated 6 months ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Dec 8, 2022Updated 3 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆72Dec 28, 2025Updated 2 months ago
- ☆16Aug 5, 2022Updated 3 years ago
- ☆15Mar 3, 2023Updated 3 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆26Apr 25, 2024Updated last year
- ☆74Aug 31, 2020Updated 5 years ago
- ☆17Feb 11, 2025Updated last year
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆22Apr 7, 2023Updated 2 years ago
- Probabilistic Tucker decomposition for high dimensional transport data☆12Jul 17, 2017Updated 8 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Jan 8, 2021Updated 5 years ago
- Model-based Control using Koopman Operators☆57Jun 13, 2020Updated 5 years ago