jkneifl / VENI-VINDy-VICIView external linksLinks
An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification
☆47Updated this week
Alternatives and similar repositories for VENI-VINDy-VICI
Users that are interested in VENI-VINDy-VICI are comparing it to the libraries listed below
Sorting:
- A data-driven framework for the identification of latent port-Hamiltonian systems☆19Updated this week
- Multi-fidelity reduced-order surrogate modeling☆31Jun 17, 2025Updated 8 months ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆67Apr 25, 2025Updated 9 months ago
- ☆14Jan 22, 2022Updated 4 years ago
- Multi-fidelity regression with neural networks☆16Oct 29, 2025Updated 3 months ago
- ☆14Nov 10, 2021Updated 4 years ago
- ☆10Mar 31, 2021Updated 4 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Apr 8, 2020Updated 5 years ago
- Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal S…☆11Jul 9, 2024Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆25May 30, 2023Updated 2 years ago
- ☆15Jan 26, 2023Updated 3 years ago
- ☆31Sep 13, 2025Updated 5 months ago
- Repository for the paper "Interpreting Temporal Graph Neural Networks with Koopman Theory"☆11Jan 30, 2025Updated last year
- Code supporting "Unraveling the mesoscale organization induced by network-driven processes", PNAS☆12Jul 17, 2024Updated last year
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆39Nov 2, 2024Updated last year
- Physics-incorporated Graph Neural Network Using Dynamic Higher-Order Spatio-temporal Graphs for Multivariate Time Series Imputation☆16Sep 5, 2025Updated 5 months ago
- ☆14Dec 23, 2023Updated 2 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Apr 9, 2024Updated last year
- ☆13Apr 5, 2024Updated last year
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆14Aug 24, 2024Updated last year
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Apr 10, 2021Updated 4 years ago
- Main repo for GIOROM☆18Sep 28, 2025Updated 4 months ago
- ☆14Jan 17, 2026Updated last month
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆37Nov 13, 2025Updated 3 months ago
- ☆35Jan 5, 2024Updated 2 years ago
- ☆17Aug 13, 2024Updated last year
- ☆18May 25, 2024Updated last year
- ☆15Nov 26, 2024Updated last year
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆16Sep 7, 2023Updated 2 years ago
- PF-PINNs: physics-informed neural networks framework for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations☆28Feb 18, 2025Updated 11 months ago
- ☆16Updated this week
- ☆43May 10, 2023Updated 2 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆39Jul 12, 2023Updated 2 years ago
- Physics-informed neural networks☆16Nov 26, 2020Updated 5 years ago
- Neural Galerkin☆16Oct 25, 2023Updated 2 years ago
- Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…☆32Updated this week
- ☆12Aug 22, 2025Updated 5 months ago
- ☆40Sep 11, 2023Updated 2 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Mar 25, 2023Updated 2 years ago