coursekevin / weakformghnnLinks
Accompanying code for "Weak form generalized Hamiltonian learning"
☆9Updated 4 years ago
Alternatives and similar repositories for weakformghnn
Users that are interested in weakformghnn are comparing it to the libraries listed below
Sorting:
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆15Updated 2 years ago
- ☆28Updated 4 years ago
- ☆110Updated 4 years ago
- ☆21Updated 4 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆46Updated last year
- Nonparametric Differential Equation Modeling☆53Updated last year
- ☆21Updated 2 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- ☆16Updated 11 months ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆25Updated 2 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆28Updated 4 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆53Updated 2 years ago
- ☆21Updated 8 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- A pyTorch Extension for Applied Mathematics☆39Updated 5 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆25Updated last year
- Port-Hamiltonian Approach to Neural Network Training☆24Updated 5 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- ☆23Updated 2 weeks ago
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆38Updated 2 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- ☆29Updated 2 years ago
- ☆35Updated last year
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Implementation of Information Bottleneck with Mutual Information Neural Estimation (MINE)☆20Updated 4 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago