# songlab-cal/tape

<https://repo.masters-masters.com/en/repos/songlab-cal/tape>

[Home](https://repo.masters-masters.com/en) › [songlab-cal](https://repo.masters-masters.com/en/owners/songlab-cal) › [tape](https://repo.masters-masters.com/en/repos/songlab-cal/tape)

songlab-cal/tape has 746 stars on GitHub. Its RepoMasters card: Beta tier. Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant…

| Field | Value |
| --- | --- |
| Owner | [songlab-cal](https://repo.masters-masters.com/en/owners/songlab-cal) |
| Stars | 746 |
| Forks | 134 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause |
| Created | 2019 |
| Topics | deep-learning, protein-sequences, protein-structure, semi-supervised-learning, benchmark, language-modeling, dataset, pytorch |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [songlab-cal/tape](https://github.com/songlab-cal/tape) |

## Repository

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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