mariodeflorio / AI-Lorenz
β30Updated last year
Alternatives and similar repositories for AI-Lorenz:
Users that are interested in AI-Lorenz are comparing it to the libraries listed below
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributioβ¦β54Updated 2 years ago
- Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs with JAX π Check out our various notebooks to get started β οΈ Mirror reposβ¦β24Updated this week
- β28Updated 2 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-β¦β19Updated 2 years ago
- Reduced-order modelling using an atlas of chartsβ24Updated 2 years ago
- β15Updated 6 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.β25Updated 4 months ago
- Practicum on Supervised Learning in Function Spacesβ32Updated 3 years ago
- β15Updated last month
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Bruntonβ25Updated 2 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]β32Updated last year
- codes for "Universal Functional Regression with Neural Operator Flows"β13Updated 4 months ago
- β33Updated 3 years ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural β¦β14Updated 2 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observationsβ18Updated 2 years ago
- β21Updated 4 years ago
- Efficient Differentiable n-d PDE solvers in JAX.β24Updated 3 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciMLβ42Updated last year
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systemsβ28Updated 2 years ago
- The public repository about our joint FINN research projectβ36Updated 2 years ago
- Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systemsβ10Updated 6 months ago
- β35Updated last year
- Pseudospectral Kolmogorov Flow Solverβ37Updated last year
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theoryβ35Updated 3 years ago
- β45Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (β₯46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled Tβ¦β59Updated 3 months ago
- β26Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systemsβ20Updated 4 months ago
- A library for dimensionality reduction on spatial-temporal PDEβ63Updated 10 months ago