kks32-courses / scimlLinks
Scientific Machine Learning
☆13Updated 2 months ago
Alternatives and similar repositories for sciml
Users that are interested in sciml are comparing it to the libraries listed below
Sorting:
- ☆35Updated this week
- Codes for Numerical Analysis course☆37Updated 2 months ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆25Updated last year
- Sandia Uncertainty Quantification Toolkit☆80Updated 6 months ago
- This repository collates a number of MATLAB examples demonstrating Scientific Machine Learning (SciML) and Physics Informed Machine Learn…☆57Updated last week
- Easy Reduced Basis method☆85Updated 3 months ago
- ☆54Updated 2 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆74Updated last week
- OpenCossan is an open and free toolbox for uncertainty quantification and management.☆55Updated 2 years ago
- Different methods of solving partial differential equations with neural networks☆17Updated 3 years ago
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python☆13Updated 5 years ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last week
- Spectral Methods in Python☆56Updated last month
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- A Computational Fluid Dynamics (CFD) course with Python☆84Updated last year
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Notebooks and documents to build Computational Mechanics course☆54Updated last month
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆119Updated 3 months ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆81Updated last week
- Implementation of the "12 Steps to Navier Stokes Equations" by Prof. Lorena A. Barba in C++.☆20Updated 9 months ago
- A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms a…☆59Updated 5 years ago
- Deep Learning for Reduced Order Modelling☆100Updated 3 years ago
- RBniCS - reduced order modelling in FEniCS (legacy)☆110Updated 3 months ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆49Updated 2 years ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆109Updated 7 months ago
- Assignments of Finite Differences Method Lesson in NWPU☆17Updated 4 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- CFD course that I teach in the Chemical Engineering Department at the University of Utah - CHEN6355.☆59Updated 6 years ago
- Python interface for libROM, library for reduced order models☆61Updated 4 months ago
- ☆13Updated 2 years ago