# Daseinintheworld/seq2seq-encoder-decoder-rnn-with-luong-gpattention-buddhist-lexicon-inspired SLOC report

> As of 2026-08-02 (commit 7572a39080c5), Daseinintheworld/seq2seq-encoder-decoder-rnn-with-luong-gpattention-buddhist-lexicon-inspired contains 5,761 total lines: 716 code, 4,907 comments, 138 blank, across 6 files in 3 languages (top: Jupyter Notebooks 100.0%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving Daseinintheworld/seq2seq-encoder-decoder-rnn-with-luong-gpattention-buddhist-lexicon-inspired to commit 7572a39080c5, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.

## Repository size insights

This is a small codebase by counted code lines. Code represents 12.4% of all lines, comments represent 85.2%, and the repository averages 119 code lines per file. Jupyter Notebooks accounts for 100.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Jupyter Notebooks | 1 | 863 | 716 | 45 | 102 |
| Markdown | 1 | 99 | 0 | 63 | 36 |
| Plain Text | 4 | 4,799 | 0 | 4,799 | 0 |

Top language (Jupyter Notebooks 100.0%). Generated at 2026-08-02T03:00:56.648436807+00:00. Canonical report: https://octocounts.com/github/Daseinintheworld/seq2seq-encoder-decoder-rnn-with-luong-gpattention-buddhist-lexicon-inspired

## Report FAQ

### How many lines of code does Daseinintheworld/seq2seq-encoder-decoder-rnn-with-luong-gpattention-buddhist-lexicon-inspired have?

Daseinintheworld/seq2seq-encoder-decoder-rnn-with-luong-gpattention-buddhist-lexicon-inspired has 5,761 total lines, including 716 code lines, 4,907 comment lines, and 138 blank lines.

### How was the Daseinintheworld/seq2seq-encoder-decoder-rnn-with-luong-gpattention-buddhist-lexicon-inspired line count measured?

OctoCounts resolved the public GitHub repository to commit 7572a39080c5, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Daseinintheworld/seq2seq-encoder-decoder-rnn-with-luong-gpattention-buddhist-lexicon-inspired?

This OctoCounts report was generated from main at commit 7572a39080c5 on 2026-08-02T03:00:56.648436807+00:00.

## Similar repository reports

- [PKUFlyingPig/UCB-CS170](https://octocounts.com/github/PKUFlyingPig/UCB-CS170) — Jupyter Notebooks, 679 code lines
- [Lordog/dive-into-llms](https://octocounts.com/github/Lordog/dive-into-llms) — Jupyter Notebooks, 515 code lines
- [Daseinintheworld/phycocyanin-approximator-project](https://octocounts.com/github/Daseinintheworld/phycocyanin-approximator-project) — Jupyter Notebooks, 140 code lines
- [karpathy/nn-zero-to-hero](https://octocounts.com/github/karpathy/nn-zero-to-hero) — Jupyter Notebooks, 1,490 code lines
- [LC1332/Luotuo-Text-Embedding](https://octocounts.com/github/LC1332/Luotuo-Text-Embedding) — Jupyter Notebooks, 1,693 code lines
- [guptashrey/Content-Moderation-for-Social-Media](https://octocounts.com/github/guptashrey/Content-Moderation-for-Social-Media) — Jupyter Notebooks, 2,364 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [OctoCounts API docs](https://octocounts.com/docs/api)
