This project implements text classification using PyTorch and the AG News dataset. It covers the following aspects: Tokenization & Vocabulary Building: Tokenizes the text using basic English tokenizer and builds vocabulary from the dataset. Embeddings & Positional Encoding: Visualizes word embeddings and incorporates positional encoding.
active 2024-09-11 → 2024-09-11 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-09-11 to 2024-09-11. 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.
- Pushes
- Pull requests
- Issues
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- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| abjodas | 1 | 1 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
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.