b03901165Shih / 2D_FPE_SolverLinks
Two Dimensional Fokker-Planck Solver using Matlab
☆19Updated 6 years ago
Alternatives and similar repositories for 2D_FPE_Solver
Users that are interested in 2D_FPE_Solver are comparing it to the libraries listed below
Sorting:
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆75Updated last month
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆161Updated last year
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 2 months ago
- ☆114Updated this week
- Hidden physics models: Machine learning of nonlinear partial differential equations☆147Updated 5 years ago
- Spectral Methods in Python☆60Updated 6 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆40Updated last year
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆24Updated last year
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆16Updated 8 years ago
- Material for workshop and autumn school on scientific machine learning 2023☆21Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59Updated 3 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆49Updated 8 years ago
- Multi Fidelity Monte Carlo☆24Updated 5 years ago
- Python Active-subspaces Utility Library☆76Updated 5 years ago
- ☆116Updated 6 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆55Updated 2 years ago
- Stiff Neural Ordinary Differential Equations☆35Updated 2 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆40Updated 4 months ago
- ☆51Updated this week
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- Automatic Differentiation Library for Computational and Mathematical Engineering☆308Updated 2 years ago
- Example problems in Physics informed neural network in JAX☆82Updated 2 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆16Updated 4 months ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆179Updated 4 years ago
- ☆42Updated 5 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆21Updated 4 years ago
- A short course in pseudospectral collocation methods for wave equations, with implementations in Python.☆62Updated 2 months ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆289Updated last year