# vasgaowei/pytorch\_MELM

<https://repo.masters-masters.com/en/repos/vasgaowei/pytorch_MELM>

[Home](https://repo.masters-masters.com/en) › [vasgaowei](https://repo.masters-masters.com/en/owners/vasgaowei) › [pytorch\_MELM](https://repo.masters-masters.com/en/repos/vasgaowei/pytorch_MELM)

vasgaowei/pytorch\_MELM has 101 stars on GitHub. Its RepoMasters card: Prototype tier. The pytorch implementation of the Min-Entropy Latent Model for Weakly…

| Field | Value |
| --- | --- |
| Owner | [vasgaowei](https://repo.masters-masters.com/en/owners/vasgaowei) |
| Stars | 101 |
| Forks | 18 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | weakly-supervised-detection, multiple-instance-learning, min-entropy |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [vasgaowei/pytorch\_MELM](https://github.com/vasgaowei/pytorch_MELM) |

## Repository

The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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