dynamicslab / ctf-dl-tutorialLinks
CTF workshop deep learning tutorial and hackathon
☆13Updated 2 years ago
Alternatives and similar repositories for ctf-dl-tutorial
Users that are interested in ctf-dl-tutorial are comparing it to the libraries listed below
Sorting:
- ☆34Updated last year
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- ☆16Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59Updated 3 years ago
- Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. Proceedings of the Royal S…☆11Updated last year
- ☆21Updated 5 years ago
- ☆10Updated 2 years ago
- ☆21Updated 3 years ago
- ☆20Updated last week
- ☆15Updated 2 years ago
- ☆30Updated 5 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- Introductory workshop on using deep neural networks for symbolic regression☆13Updated 7 months ago
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆26Updated last year
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated 2 years ago
- A collection of codes and references for deep learning in fluid dynamics☆19Updated 4 years ago
- ☆28Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- Stochastic Physics-Informed Neural Ordinary Differential Equations☆19Updated 3 years ago
- Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equat…☆14Updated 3 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆13Updated 3 years ago
- Neural Galerkin☆16Updated 2 years ago
- ☆17Updated 11 months ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 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…☆22Updated 4 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- ☆42Updated 7 years ago
- ☆30Updated 7 years ago
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- ☆10Updated 2 years ago