This project involves developing a word-level Long Short-Term Memory (LSTM) model for sentence completion. The model is trained on Shakespeare's plays, learning to predict the next word in a given sequence. By capturing the contextual dependencies between words, the model aims to generate coherent and contextually relevant text.
active 2025-03-08 → 2025-03-08 (UTC)
Activity over time
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Line chart, 1 days from 2025-03-08 to 2025-03-08. Pushes: 2 total, peak 2 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: 0 total, peak 0 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 |
|---|---|---|---|---|
| hak2979 | 2 | 2 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.