Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
☆36Jan 22, 2022Updated 4 years ago
Alternatives and similar repositories for koopman-forecasting
Users that are interested in koopman-forecasting are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep Probabilistic Koopman: long-term time-series forecasting under quasi-periodic uncertainty☆24Nov 3, 2021Updated 4 years ago
- Linear and non-linear spectral forecasting algorithms☆139Feb 12, 2021Updated 5 years ago
- Official implementation of "Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data".☆10Dec 12, 2022Updated 3 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- Consistent Koopman Autoencoders☆76May 23, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forcea…☆38Sep 9, 2025Updated 8 months ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆94Apr 5, 2021Updated 5 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆52Nov 15, 2020Updated 5 years ago
- ☆16Oct 7, 2019Updated 6 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 5 years ago
- Code to train a Multiple-Input Fourier Neural Operator (MIFNO) to predict the solution of 3D source-dependent Partial Differential Equati…☆14Jan 11, 2026Updated 4 months ago
- ☆15Jul 6, 2023Updated 2 years ago
- Using Machine Learning to Predict Extreme Events in Complex Systems☆14Dec 15, 2019Updated 6 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆73Dec 28, 2025Updated 4 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Repo for the distributed-safe-learning-control for DMPC program☆15Jul 17, 2025Updated 10 months ago
- Code for "Broadband Ground Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation" BSSA 2024☆16Apr 22, 2026Updated last month
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Dec 8, 2022Updated 3 years ago
- This repository introduces Partial Differential Equation Solver using neural network that can learn resolution-invariant solution operato…☆17Nov 23, 2021Updated 4 years ago
- A simple Physics Informed Neural Network (PINN) implementation in TensorFlow 2 for magnetic field mapping using finite amount of magnetic…☆11Jun 7, 2022Updated 3 years ago
- Array-based CNNs for automatic earthquake detection and 4D localization☆11Apr 14, 2026Updated last month
- ☆13Aug 29, 2022Updated 3 years ago
- ☆16Nov 20, 2023Updated 2 years ago
- ☆10Dec 17, 2019Updated 6 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Radiative transport in 3D Earth models☆12Mar 5, 2020Updated 6 years ago
- A cross-platform thermodynamics program for geologists, written in Fortran and C☆12Apr 20, 2010Updated 16 years ago
- ROVER: robust data access tool for FDSN data centers☆13Dec 23, 2025Updated 5 months ago
- ☆12Jul 29, 2021Updated 4 years ago
- 学习笔记☆13Oct 28, 2021Updated 4 years ago
- ☆19Apr 5, 2024Updated 2 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Jul 30, 2022Updated 3 years ago
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆71May 14, 2026Updated last week
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆17Jun 7, 2021Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆19Feb 3, 2022Updated 4 years ago
- neural networks to learn Koopman eigenfunctions☆481Mar 22, 2024Updated 2 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Aug 27, 2020Updated 5 years ago
- Real-time and historical visualization of US hydrology☆12Jun 23, 2015Updated 10 years ago
- LitMod2D_2.0 is a tool to unravel the thermal, compositional, density, and seismological structure of the crust and upper mantle (~400 k…☆11Apr 3, 2025Updated last year
- An improved incremental singular value decomposition(SVD) algorithm☆15Feb 7, 2024Updated 2 years ago
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆12Apr 11, 2024Updated 2 years ago