MeasureTransport / MParTLinks
Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.
☆18Updated last year
Alternatives and similar repositories for MParT
Users that are interested in MParT are comparing it to the libraries listed below
Sorting:
- ☆107Updated last month
- Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.☆105Updated last week
- ☆49Updated last week
- A Review of Sensitivity Methods for Differential Equations☆31Updated 8 months ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated 3 weeks ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆73Updated 3 weeks ago
- ☆10Updated last month
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆283Updated 10 months ago
- A package for Gaussian random field generation in Julia☆77Updated 3 months ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆39Updated 3 weeks ago
- Material for workshop and autumn school on scientific machine learning 2023☆20Updated last year
- Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection☆22Updated 2 months ago
- Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…☆228Updated 2 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆37Updated last year
- ☆21Updated 2 months ago
- A Python toolbox for Bayesian inference and generative sampling, implementing triangular transport maps from samples.☆10Updated 3 weeks ago
- Implementation of various ensemble Kalman Filter data assimilation methods in Julia☆63Updated 3 weeks ago
- Automatic Differentiation Library for Computational and Mathematical Engineering☆302Updated last year
- Surrogate modeling and optimization for scientific machine learning (SciML)☆347Updated this week
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆63Updated this week
- Fully-differentiable multi physics finite-volume simulators☆68Updated this week
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆76Updated 2 years ago
- A framework for simulating viscous incompressible flows about arbitrary body shapes.☆105Updated last month
- DPFEHM: A Differentiable Subsurface Flow Simulator☆38Updated 3 weeks ago
- General purpose code and examples for the mpEDMD algorithm.☆15Updated last year
- Incompressible Navier-Stokes solver☆83Updated last week
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 4 months ago
- Code repo for publication at https://hess.copernicus.org/articles/26/5085/2022/☆19Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Kernel methods for statistical modeling of dynamical systems☆24Updated 6 months ago