Flexudy Pipe (@flexudy-pipe)
Guthub

flexudy-pipe

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  • Stars
    star
    84
  • Global Org. Rank 62,725 (Top 20 %)
  • Registered over 4 years ago
  • Most used languages
    Python
         66.7 %
    TypeScript
         33.3 %
  • Location 🇩🇪 Germany
  • Country Total Rank 11,060
  • Country Ranking
    TypeScript
         1,823
    Python
         2,289

Top repositories

1

sentence-doctor

Many Natural Language Processing tasks rely on sentence boundary detection (SBD). Although amazing libraries like spacy provide state of the art SBD, they often depend on text extractors (e.g pdf text extractors or OCR). The quality of these extractors greatly influence the quality of SBD libraries and as a consequence, the performance of downstream models as well. To help address this problem, we fine-tuned a T5 model from the hugging face hub that attempts to reconstruct “broken sentences”
Python
60
star
2

labely

The goal of this project is to provide an easy to use open source tool for data labelling.
TypeScript
17
star
3

qugeev

A simple way to evaluate question generation models
Python
6
star
4

neural_text_cleaner

Text quality can greatly influence the predictions of neural networks. We atempt to build a model that can do minor cleaning tasks like math, citation and title detection, which can then be masked before any further processing.
1
star