mariodeflorio / AI-LorenzLinks
☆33Updated 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:
- ☆17Updated 8 months 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
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- The public repository about our joint FINN research project☆38Updated 2 years ago
- PySensors is a Python package for sparse sensor placement☆99Updated last month
- Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…☆35Updated last week
- ☆39Updated 2 years ago
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆25Updated 10 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆67Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆28Updated 3 months ago
- a multiresolution convolutional autoencoder architecture☆22Updated 4 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- ☆16Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆36Updated 6 months ago
- Quantification of Uncertainties in Neural Networks☆11Updated 5 months ago
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆40Updated last month
- ☆12Updated 2 years ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Updated last year
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆13Updated 2 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 2 years ago
- ☆10Updated 2 years 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
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Distributed Fourier Neural Operators☆30Updated 3 years ago
- ☆90Updated 5 months ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- Python 2D Navier-Stokes solver☆22Updated last month