This documentation outlines the design, implementation, and usage of a neural text prediction model based on a three-layer network. The model is designed to predict text based on provided input data using only pure mathematics, without relying on external libraries.
active 2024-01-22 → 2024-01-22 (UTC)
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Line chart, 1 days from 2024-01-22 to 2024-01-22. Pushes: 1 total, peak 1 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 |
|---|---|---|---|---|
| gotesgan | 1 | 1 | 0 | 0 |
Recent activity
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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.