SchatzLabGT / SymbolicRegressionLinks
☆11Updated 4 years ago
Alternatives and similar repositories for SymbolicRegression
Users that are interested in SymbolicRegression are comparing it to the libraries listed below
Sorting:
- ☆14Updated 3 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- Stochastic Physics-Informed Neural Ordinary Differential Equations☆17Updated 3 years ago
- ☆28Updated 7 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 3 years ago
- ☆14Updated 2 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆31Updated 4 years ago
- Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization☆14Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- Multi-fidelity Gaussian Process☆27Updated 4 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- implementation of physics-informed variational auto-encoder☆16Updated last year
- AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)☆43Updated 2 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆13Updated 8 months ago
- Multi-fidelity regression with neural networks☆13Updated 8 months ago
- ☆10Updated 2 years ago
- ☆21Updated 2 years ago
- ☆41Updated 7 years ago
- ☆21Updated 4 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Updated 8 months ago
- Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1…☆21Updated 6 years ago
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆45Updated last year
- ☆13Updated 8 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆14Updated last year
- SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis☆11Updated 3 months ago
- ☆37Updated last year
- Computing the discrete spectrum of the Koopman operator using Dynamic Mode Decomposition☆10Updated 5 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 3 years ago
- Bayesian System IDentification☆28Updated 7 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆41Updated 2 years ago