magnusross / pytorch-lagrangian-nnLinks
Implementation of Lagrangian Neural Networks in PyTorch
☆14Updated 2 months ago
Alternatives and similar repositories for pytorch-lagrangian-nn
Users that are interested in pytorch-lagrangian-nn are comparing it to the libraries listed below
Sorting:
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆53Updated 4 years ago
- Lagrangian Neural Networks☆537Updated 4 months ago
- A general-purpose Python package for Koopman theory using deep learning.☆120Updated 4 months ago
- A Python package to learn the Koopman operator.☆65Updated 2 weeks ago
- ☆35Updated 11 months ago
- This gym provides implementations of various PDEs for easy testing and comparison of data-driven and classical PDE control algorithms.☆39Updated last month
- ☆112Updated 4 years ago
- A package for computing data-driven approximations to the Koopman operator.☆405Updated last week
- PyTorch implementation of Hamiltonian deep neural networks.☆22Updated 4 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆93Updated last week
- Data-driven dynamical systems toolbox.☆80Updated this week
- Consistent Koopman Autoencoders☆75Updated 2 years ago
- ☆15Updated 5 years ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆48Updated 2 years ago
- Transformers for modeling physical systems☆147Updated 2 years ago
- neural networks to learn Koopman eigenfunctions☆466Updated last year
- Equation Learner, a neural network approach to symbolic regression☆84Updated last year
- Offline Contextual Bayesian Optimization☆14Updated 2 years ago
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆55Updated 4 months ago
- ☆89Updated 2 years ago
- Python model for constrained GP☆26Updated 4 years ago
- Open-source implementation of Deep Lagrangian Networks (DeLaN)☆139Updated last year
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆160Updated 4 years ago
- [ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency☆28Updated 3 months ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- ☆47Updated 5 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆28Updated 8 months ago
- Code accompanying the paper "Learning neural state-space models: do we need a state estimator?"☆10Updated 2 years ago
- Code for our paper "Hamiltonian Neural Networks"☆504Updated 4 years ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 3 years ago