# jpWang/LiLT

<https://repo.masters-masters.com/en/repos/jpWang/LiLT>

[Home](https://repo.masters-masters.com/en) › [jpWang](https://repo.masters-masters.com/en/owners/jpWang) › [LiLT](https://repo.masters-masters.com/en/repos/jpWang/LiLT)

jpWang/LiLT has 371 stars on GitHub. Its RepoMasters card: Alpha tier. Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent…

| Field | Value |
| --- | --- |
| Owner | [jpWang](https://repo.masters-masters.com/en/owners/jpWang) |
| Stars | 371 |
| Forks | 40 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | nlp, document-ai, document-analysis, document-understanding, information-extraction, multimodal-pre-trained-model, multilingual-models |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [jpWang/LiLT](https://github.com/jpWang/LiLT) |

## Repository

Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)

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.