mariodeflorio / AI-LorenzLinks
☆34Updated last year
Alternatives and similar repositories for AI-Lorenz
Users that are interested in AI-Lorenz are comparing it to the libraries listed below
Sorting:
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆57Updated 3 years ago
- a multiresolution convolutional autoencoder architecture☆22Updated 4 years ago
- ☆17Updated 9 months ago
- ☆39Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆67Updated last year
- Pseudospectral Kolmogorov Flow Solver☆41Updated last year
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- ☆28Updated 2 years ago
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆26Updated 10 months ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆29Updated 4 months ago
- The public repository about our joint FINN research project☆38Updated 2 years ago
- ☆12Updated 2 years ago
- Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…☆37Updated this week
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆80Updated 11 months ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- ☆21Updated 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
- Distributed Fourier Neural Operators☆30Updated 3 years ago
- ☆35Updated 2 years ago
- CTF workshop deep learning tutorial and hackathon☆13Updated 2 years ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆36Updated 7 months ago
- PySensors is a Python package for sparse sensor placement☆100Updated last month
- ☆15Updated last year
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆35Updated last week
- ☆21Updated 2 years ago
- Introductory workshop on using deep neural networks for symbolic regression☆12Updated 5 months ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆13Updated 2 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