PredictiveScienceLab / advanced-scientific-machine-learningLinks
ME 697 - Advanced Scientific Machine Learning
☆24Updated 4 months ago
Alternatives and similar repositories for advanced-scientific-machine-learning
Users that are interested in advanced-scientific-machine-learning are comparing it to the libraries listed below
Sorting:
- Introduction to Data Science for Mechanical Engineers☆23Updated this week
- ☆49Updated this week
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- ME 539 - Introduction to Scientific Machine Learning☆122Updated 2 weeks ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆76Updated 3 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆30Updated last year
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆47Updated 10 months ago
- ☆11Updated last year
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆38Updated last year
- Solve the advection diffusion equations looped into an optimization problem with JAX/autodiff☆12Updated 4 months ago
- Example problems in Physics informed neural network in JAX☆81Updated 2 years ago
- Bootcamp notebooks☆58Updated last month
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆57Updated 4 years ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆36Updated 5 months ago
- ☆29Updated 2 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆74Updated 2 months ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆81Updated this week
- Optimal numerical differentiation of noisy time series data in python.☆65Updated 2 months ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 2 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 3 weeks ago
- Methods for numerical differentiation of noisy data in python☆122Updated this week
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆39Updated 2 months ago
- ☆73Updated last year
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆55Updated 2 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- Two Dimensional Fokker-Planck Solver using Matlab☆19Updated 6 years ago