A transformer-based masked language model for learning amino acid sequence representations. The model uses self-attention mechanisms with custom gating and incorporates protein features for enhanced sequence understanding. Trained using BERT-style masking on peptide sequences to learn contextual amino acid embeddings.
active 2025-02-22 → 2025-03-07 (UTC)
Activity over time
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Line chart, 14 days from 2025-02-22 to 2025-03-07. Pushes: 5 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 3 total, peak 1 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| AnanyaP-WDW | 5 | 5 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.