rmojgani / LPINNs

To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary conditions

Date Created 2022-05-04 (2 years ago)

Commits 22 (last one about a year ago)

Stargazers 43 (0 this week)

Watchers 5 (0 this week)

Forks 5

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these rmojgani/LPINNs is ranked #505,506 (15th percentile) for total stargazers, and #335,688 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #98,151/119,431.

rmojgani/LPINNs is also tagged with popular topics, for these it's ranked: deep-learning (#7,540/8512), pytorch (#5,298/6025), neural-network (#1,018/1108), ml (#524/614)

All Topics

ml nn pinn burgers pytorch convection lagrangian deep-learning neural-network convection-diffusion method-of-characteristics physics-informed-neural-networks

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

22 commits on the default branch (main) since jan '22

Yearly Commits

Commits to the default branch (main) per year

Issue History

No issues have been posted

Languages

The primary language is Python but there's also others...

updated: 2024-12-05 @ 06:57pm, id: 488672058 / R_kgDOHSCLOg