lanl / SEPIA
Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
☆35Updated last year
Alternatives and similar repositories for SEPIA:
Users that are interested in SEPIA are comparing it to the libraries listed below
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Two Dimensional Fokker-Planck Solver using Matlab☆19Updated 5 years ago
- A software package for flexible HPC GPs☆16Updated this week
- Stiff Neural Ordinary Differential Equations☆32Updated last year
- ☆17Updated 4 months ago
- A Python library for training neural ODEs.☆21Updated 2 months ago
- ☆21Updated 4 years ago
- Differentiable interface to FEniCS for PyMC3☆20Updated 2 years ago
- Differentiable interface to FEniCS for JAX☆53Updated 3 years ago
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆27Updated last month
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆68Updated 4 years ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆33Updated 2 weeks ago
- Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs with JAX 📓 Check out our various notebooks to get started ⚠️ Mirror repos…☆29Updated this week
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations☆10Updated 5 years ago
- Sandia Uncertainty Quantification Toolkit☆80Updated 4 months ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated last month
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated 3 months ago
- Learning Green's functions of partial differential equations with deep learning.☆66Updated last year
- Scientific Machine Learning Tutorials☆36Updated 3 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 4 years ago
- Automatic-Differentiation-Enabled Plasma Transport in JAX☆28Updated this week
- Kernel methods for statistical modeling of dynamical systems☆24Updated 3 months ago
- The VECMA toolkit for creating surrogate models of multiscale systems.☆19Updated 3 months ago
- Python package for analyzing and representing droplets and emulsions☆12Updated last month
- Python Active-subspaces Utility Library☆72Updated 4 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- Parameter space dimension reduction toolbox☆13Updated 2 years ago