borjanG / leiaLinks
A toolbox for learning with neural ODEs.
☆10Updated 2 years ago
Alternatives and similar repositories for leia
Users that are interested in leia are comparing it to the libraries listed below
Sorting:
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆54Updated 11 months ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆39Updated 3 weeks ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆284Updated 10 months ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆37Updated last year
- The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs☆17Updated 5 months ago
- Spectral Neural Operator☆78Updated last year
- ☆42Updated 5 years ago
- Example problems in Physics informed neural network in JAX☆80Updated last year
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 3 years ago
- Port-Hamiltonian Approach to Neural Network Training☆24Updated 5 years ago
- ☆108Updated last month
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆77Updated 2 months ago
- Two Dimensional Fokker-Planck Solver using Matlab☆19Updated 6 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆176Updated 4 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆157Updated last year
- ☆186Updated 4 months ago
- ☆29Updated 2 years ago
- A package for the sparse identification of nonlinear dynamical systems from data☆11Updated 5 years ago
- Datasets and code for results presented in the ProbConserv paper☆53Updated last year
- This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.☆30Updated last month
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆30Updated last year
- Stochastic Optimization under Uncertainty in Python.☆36Updated 2 months ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆21Updated 9 months ago
- Transformers for modeling physical systems☆143Updated 2 years ago
- Code of ICML paper arxiv.org/abs/2302.08105☆14Updated 2 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆73Updated last month
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆152Updated 4 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated 3 weeks ago
- Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…☆229Updated 2 years ago