alan-turing-institute / stat-femLinks
Python tools for solving data-constrained finite element problems
☆13Updated 3 years ago
Alternatives and similar repositories for stat-fem
Users that are interested in stat-fem are comparing it to the libraries listed below
Sorting:
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- ☆29Updated 2 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- PyTorch-FEniCS interface☆101Updated 4 years ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆96Updated last year
- ☆41Updated 5 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- ☆107Updated 4 years ago
- Dynamic Mode Decomposition☆59Updated 7 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆10Updated 2 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆128Updated 8 months ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆26Updated last year
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆26Updated last year
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 4 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆62Updated this week
- ☆31Updated 2 years ago
- Probabilistic Response mOdel Fitting with Interactive Tools☆15Updated 4 months ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆37Updated 3 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆52Updated last year
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆48Updated 8 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆55Updated 3 years ago
- ☆34Updated 3 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆74Updated 2 years ago