MilesCranmer / lagrangian_nnsLinks
Lagrangian Neural Networks
☆537Updated 4 months ago
Alternatives and similar repositories for lagrangian_nns
Users that are interested in lagrangian_nns are comparing it to the libraries listed below
Sorting:
- Code for our paper "Hamiltonian Neural Networks"☆504Updated 4 years ago
- ☆379Updated 4 years ago
- neural networks to learn Koopman eigenfunctions☆466Updated last year
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆287Updated 4 years ago
- OSS library that implements deep learning methods for partial differential equations and much more☆458Updated 3 months ago
- A package for computing data-driven approximations to the Koopman operator.☆405Updated last week
- ☆112Updated 4 years ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆773Updated 2 years ago
- Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support☆223Updated 5 years ago
- Transformers for modeling physical systems☆147Updated 2 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆772Updated 6 months ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,552Updated last year
- ☆733Updated last year
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆160Updated 4 years ago
- Pytorch implementation of Augmented Neural ODEs☆555Updated 2 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆93Updated last week
- ☆274Updated 3 years ago
- Equation Learner, a neural network approach to symbolic regression☆84Updated last year
- ☆174Updated 2 years ago
- A package for the sparse identification of nonlinear dynamical systems from data☆1,739Updated 3 weeks ago
- A Python package to learn the Koopman operator.☆65Updated 2 weeks ago
- ☆287Updated last year
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆795Updated last year
- Implementation of Lagrangian Neural Networks in PyTorch☆14Updated 2 months ago
- SINDy (Sparse Identification of Nonlinear Dynamics) algorithms☆79Updated 3 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆120Updated 4 months ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆285Updated 3 years ago
- Computational Fluid Dynamics in JAX☆913Updated 2 weeks ago
- ☆74Updated 5 years ago
- Linear and non-linear spectral forecasting algorithms☆139Updated 4 years ago