A library for Koopman Neural Operator with Pytorch.
☆329Oct 5, 2024Updated last year
Alternatives and similar repositories for KoopmanLab
Users that are interested in KoopmanLab are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A package for computing data-driven approximations to the Koopman operator.☆431Jan 22, 2026Updated 4 months ago
- ☆11Jun 4, 2024Updated 2 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆84May 7, 2024Updated 2 years ago
- neural networks to learn Koopman eigenfunctions☆482Mar 22, 2024Updated 2 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆35Aug 23, 2023Updated 2 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆15Oct 10, 2023Updated 2 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆52Nov 15, 2020Updated 5 years ago
- Soure code for Deep Koopman with Control☆111Jun 19, 2022Updated 3 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆118Sep 24, 2025Updated 8 months ago
- Consistent Koopman Autoencoders☆75May 23, 2023Updated 3 years ago
- ☆537Apr 1, 2025Updated last year
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆14Apr 5, 2023Updated 3 years ago
- Spectral Neural Operator☆83Dec 20, 2023Updated 2 years ago
- [ICLR 2023] Factorized Fourier Neural Operators☆196Oct 13, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Koopman operator identification library in Python, compatible with `scikit-learn`☆107Sep 22, 2025Updated 8 months ago
- ☆17Jan 24, 2024Updated 2 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆331Apr 16, 2026Updated last month
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆94Apr 5, 2021Updated 5 years ago
- Code for CDC2022 submission☆11Sep 1, 2025Updated 9 months ago
- Awesome paper about AI for atmosphere science and oceanography☆39Oct 4, 2023Updated 2 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆85Apr 10, 2025Updated last year
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆176Sep 6, 2024Updated last year
- ☆20Feb 11, 2025Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆307Sep 14, 2024Updated last year
- ☆26Mar 14, 2024Updated 2 years ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆20Aug 5, 2020Updated 5 years ago
- Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305…☆240Jul 1, 2024Updated last year
- Learning in infinite dimension with neural operators.☆3,666May 11, 2026Updated 3 weeks ago
- All the code needed to learn models from data using Koopman operator approach.☆13Apr 18, 2019Updated 7 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,154Mar 30, 2026Updated 2 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Jan 13, 2024Updated 2 years ago
- A Python package to learn the Koopman operator.☆79May 27, 2026Updated last week
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆382Jul 14, 2023Updated 2 years ago
- ☆83May 3, 2018Updated 8 years ago
- ☆16Mar 3, 2023Updated 3 years ago
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆84Mar 4, 2020Updated 6 years ago
- ☆17May 31, 2024Updated 2 years ago
- ☆1,106Apr 9, 2026Updated 2 months ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆23Apr 7, 2023Updated 3 years ago