# MILVLG/bottom-up-attention.pytorch

<https://repo.masters-masters.com/en/repos/MILVLG/bottom-up-attention.pytorch>

[Home](https://repo.masters-masters.com/en) › [MILVLG](https://repo.masters-masters.com/en/owners/MILVLG) › [bottom-up-attention.pytorch](https://repo.masters-masters.com/en/repos/MILVLG/bottom-up-attention.pytorch)

MILVLG/bottom-up-attention.pytorch has 302 stars on GitHub. Its RepoMasters card: Alpha tier. A PyTorch reimplementation of bottom-up-attention models

| Field | Value |
| --- | --- |
| Owner | [MILVLG](https://repo.masters-masters.com/en/owners/MILVLG) |
| Stars | 302 |
| Forks | 74 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | bottom-up-attention, pytorch, detectron2 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [MILVLG/bottom-up-attention.pytorch](https://github.com/MILVLG/bottom-up-attention.pytorch) |

## Repository

A PyTorch reimplementation of bottom-up-attention models

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.