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:
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- ☆17Updated 11 months ago
- ☆16Updated last year
- ☆28Updated 3 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
- code for "Universal Functional Regression with Neural Operator Flows" TMLR 2024☆19Updated 6 months ago
- ☆39Updated 2 years ago
- a multiresolution convolutional autoencoder architecture☆23Updated 4 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆53Updated 2 weeks ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60Updated 3 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- ☆18Updated last year
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆19Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Updated 9 months ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆13Updated 3 years ago
- The public repository about our joint FINN research project☆37Updated 3 years ago
- Quantification of Uncertainties in Neural Networks☆11Updated last month
- PySensors is a Python package for sparse sensor placement☆108Updated last month
- ☆35Updated 2 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆19Updated last year
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated 2 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- ☆12Updated 3 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
- ☆38Updated 4 years ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆94Updated last month
- Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs + Adaptative Loss Weights with JAX 📓 Check out our various notebooks to g…☆42Updated this week
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆28Updated 6 months ago
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆26Updated last year