lanl / SEPIALinks
Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.
☆35Updated 2 years ago
Alternatives and similar repositories for SEPIA
Users that are interested in SEPIA are comparing it to the libraries listed below
Sorting:
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated 2 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆27Updated 3 years ago
- Scientific Machine Learning Tutorials☆40Updated 4 years ago
- Sandia Uncertainty Quantification Toolkit☆84Updated last year
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆68Updated last week
- An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py☆65Updated 4 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- ☆32Updated last year
- Dynamic Mode Decomposition☆61Updated 8 years ago
- Differentiable interface to FEniCS for PyMC3☆22Updated 3 years ago
- A Python library for training neural ODEs.☆26Updated 11 months ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆14Updated 3 years ago
- A short course in pseudospectral collocation methods for wave equations, with implementations in Python.☆63Updated 4 months ago
- Stiff Neural Ordinary Differential Equations☆35Updated 2 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆75Updated last year
- ☆100Updated 3 months ago
- Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.☆98Updated this week
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆117Updated 3 years ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆87Updated 4 years ago
- Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler☆123Updated 4 months ago
- Quasi-Monte Carlo point generators, automatic transformations, and adaptive stopping criteria☆77Updated this week
- Data-driven Geometric Multi-Grid solver for the discrete Poisson equation☆41Updated 3 years ago
- Spectral Methods in Python☆60Updated this week
- Krylov subspace methods package for Python☆107Updated last year
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated 2 months ago
- Kernel methods for statistical modeling of dynamical systems☆26Updated 3 months ago
- The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN☆72Updated 3 weeks ago
- Python package for analyzing and representing droplets and emulsions☆12Updated last month