mariosmat / hamiltonianNNetODEsLinks
Hamiltonian Neural Networks for solving Differential Equations
☆23Updated 3 years ago
Alternatives and similar repositories for hamiltonianNNetODEs
Users that are interested in hamiltonianNNetODEs are comparing it to the libraries listed below
Sorting:
- Learning unknown ODE models with Gaussian processes☆27Updated 7 years ago
- ☆28Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60Updated 3 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆29Updated 4 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆84Updated 3 years ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- ☆11Updated 4 years ago
- ☆21Updated 5 years ago
- Nonparametric Differential Equation Modeling☆56Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆56Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆27Updated 7 years ago
- Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theo…☆21Updated 2 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 4 years ago
- ☆112Updated 4 years ago
- Data-driven dynamical systems toolbox.☆80Updated last week
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- ☆30Updated 7 years ago
- A Python package to learn the Koopman operator.☆65Updated last week
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- ☆199Updated 9 months ago
- Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…☆31Updated last month
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆52Updated 5 months ago
- ☆43Updated 7 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆28Updated 7 months ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆65Updated last year
- ☆21Updated 3 years ago
- Linear and non-linear spectral forecasting algorithms☆139Updated 4 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Code and files related to random side projects☆21Updated 4 years ago
- This repository contains code released by DiffEqML Research☆92Updated 3 years ago