# Correr-Zhou/RepMode

<https://repo.masters-masters.com/en/repos/Correr-Zhou/RepMode>

[Home](https://repo.masters-masters.com/en) › [Correr-Zhou](https://repo.masters-masters.com/en/owners/Correr-Zhou) › [RepMode](https://repo.masters-masters.com/en/repos/Correr-Zhou/RepMode)

Correr-Zhou/RepMode has 163 stars on GitHub. Its RepoMasters card: Prototype tier. \[CVPR 2023 (Highlight)\] Offical implementation of the paper "RepMode…

| Field | Value |
| --- | --- |
| Owner | [Correr-Zhou](https://repo.masters-masters.com/en/owners/Correr-Zhou) |
| Stars | 163 |
| Forks | 0 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | biomedical, computer-vision, cvpr2023, deep-learning, dense-prediction, machine-learning, multi-task-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Correr-Zhou/RepMode](https://github.com/Correr-Zhou/RepMode) |

## Repository

\[CVPR 2023 (Highlight)\] Offical implementation of the paper "RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction".

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.