# levimcclenny/SA-PINNs

<https://repo.masters-masters.com/en/repos/levimcclenny/SA-PINNs>

[Home](https://repo.masters-masters.com/en) › [levimcclenny](https://repo.masters-masters.com/en/owners/levimcclenny) › [SA-PINNs](https://repo.masters-masters.com/en/repos/levimcclenny/SA-PINNs)

levimcclenny/SA-PINNs has 301 stars on GitHub. Its RepoMasters card: Alpha tier. Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks…

| Field | Value |
| --- | --- |
| Owner | [levimcclenny](https://repo.masters-masters.com/en/owners/levimcclenny) |
| Stars | 301 |
| Forks | 51 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | adaptive-pinns, neural-network, pdes, stiff-pdes, scientific-computing, sciml, physics-informed-learning, pinns, deep-learning, neural-networks |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [levimcclenny/SA-PINNs](https://github.com/levimcclenny/SA-PINNs) |

## Repository

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" \[AAAI-MLPS 2021\]

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.