# tbepler/protein-sequence-embedding-iclr2019

<https://repo.masters-masters.com/en/repos/tbepler/protein-sequence-embedding-iclr2019>

[Home](https://repo.masters-masters.com/en) › [tbepler](https://repo.masters-masters.com/en/owners/tbepler) › [protein-sequence-embedding-iclr2019](https://repo.masters-masters.com/en/repos/tbepler/protein-sequence-embedding-iclr2019)

tbepler/protein-sequence-embedding-iclr2019 has 262 stars on GitHub. Its RepoMasters card: Alpha tier. Source code for "Learning protein sequence embeddings…

| Field | Value |
| --- | --- |
| Owner | [tbepler](https://repo.masters-masters.com/en/owners/tbepler) |
| Stars | 262 |
| Forks | 74 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | protein-embedding, language-model, protein-modeling, protein-structure, protein-sequence, protein-representation-learning, deep-learning, recurrent-neural-networks, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [tbepler/protein-sequence-embedding-iclr2019](https://github.com/tbepler/protein-sequence-embedding-iclr2019) |

## Repository

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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