CUQI-DTU / CUQIpyLinks
☆48Updated last month
Alternatives and similar repositories for CUQIpy
Users that are interested in CUQIpy are comparing it to the libraries listed below
Sorting:
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 2 months ago
- ☆104Updated this week
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆80Updated 2 months ago
- MATLAB codes for "Computational Uncertainty Quantification for Inverse Problems," by Johnathan M. Bardsley☆34Updated 6 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Easily generate random fields☆19Updated 3 weeks ago
- Sandia Uncertainty Quantification Toolkit☆80Updated 6 months ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆38Updated last year
- The algorithmic differentation tool pyadjoint and add-ons.☆102Updated 3 weeks ago
- Generator of 2D gaussian random fields☆50Updated 3 years ago
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆62Updated last week
- Codes for Linear and Nonlinear Disambiguation Optimization (LANDO)☆29Updated 3 years ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆84Updated 4 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆30Updated last year
- Python Active-subspaces Utility Library☆74Updated 4 years ago
- ME 697 - Advanced Scientific Machine Learning☆22Updated last month
- Toolbox for HODLR and HSS matrices in MATLAB☆46Updated 2 months ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆73Updated last week
- A Python library for training neural ODEs.☆23Updated 4 months ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆59Updated last week
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- Two Dimensional Fokker-Planck Solver using Matlab☆19Updated 5 years ago
- Compute spectral measures of self-adjoint operators☆19Updated 2 years ago
- Numerical differentiation with regularization, allowing differentiation of noisy data without amplifying noise. Uses total variation and …☆30Updated 6 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 7 years ago
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆19Updated last month
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆69Updated last year
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆39Updated 8 months ago
- Stochastic Optimization under Uncertainty in Python.☆36Updated 3 weeks ago