Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Trained models with fast variant of the "best" LSTM models + legacy models
| Date | Stars |
|---|---|
| 2026-07-24 | 7608 |
| 2026-07-25 | 7610 |
| 2026-07-28 | 7610 |
| 2026-07-30 | 7610 |
| 2026-08-06 | 7610 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
tessdata ======== These language data files only work with Tesseract 4.0.0 and newer versions. They are based on the sources in [tesseract-ocr/langdata](https://github.com/tesseract-ocr/langdata) on GitHub. (still to be updated for 4.0.0 - 20180322) These have models for legacy tesseract engine (--oem 0) as well as the new LSTM neural net based engine (--oem 1). The LSTM models (--oem 1) in these files have been updated to the integerized versions of [tessdata_best](https://github.com/tesseract-ocr/tessdata_best) on GitHub. So, they should be faster but probably a little less accurate than tessdata_best. [tessdata_fast](https://github.com/tesseract-ocr/tessdata_fast) on GitHub provides an alternate set of integerized LSTM models which have been built with a smaller network. tessdata_fast files are the ones packaged for Debian and Ubuntu. The legacy tesseract models (--oem 0) have been removed for Indic and Arabic script language files. tessdata for 3.04 or 3.05 ------------------------- Get language data files for Tesseract 3.04 or 3.05 from the [3.04 tree](https://github.com/tesseract-ocr/tessdata/tree/3.04.00). More information and a complete list of all languages is available in the [Tesseract wiki](https://github.com/tesseract-ocr/tesseract/wiki/Data-Files). All data in the repository are licensed under the Apache-2.0 License, see file [LICENSE](LICENSE).
Excerpt of 1,393 characters
Read on GitHub
zdenop
15
Stefan Weil · @UB-Mannheim · Germany
14
7
5
Howard Jones · United Kingdom
2
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:41f8c1cb1c9f2bf6, topic:ocr, readme:ocr