Bert Model Implementations NLP Tools

There are 12 bert model implementations tools tracked. 1 score above 50 (established tier). The highest-rated is KoichiYasuoka/esupar at 55/100 with 55 stars.

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#	Tool	Score	Tier	Stars	Language
1	KoichiYasuoka/esupar Tokenizer POS-Tagger and Dependency-parser with BERT/RoBERTa/DeBERTa/GPT...	55	Established	55	Python
2	hellohaptik/multi-task-NLP multi_task_NLP is a utility toolkit enabling NLP developers to easily train...	45	Emerging	373	Python
3	old-wang-95/easy-bert easy-bert是一个中文NLP工具，提供诸多bert变体调用和调参方法，极速上手；清晰的设计和代码注释，也很适合学习	41	Emerging	83	Python
4	taishi-i/nagisa_bert A BERT model for nagisa	39	Emerging	5	Jupyter Notebook
5	ant-louis/netbert 📶 NetBERT: a domain-specific BERT model for computer networking.	32	Emerging	5	Jupyter Notebook
6	AndyTheFactory/RO-Diacritics Python package for Romanian diacritics restoration	30	Emerging	9	Python
7	chambliss/foodbert FoodBERT: Food Extraction with DistilBERT	30	Emerging	59	Python
8	Pchambet/NLP-from-scratch-to-BERT End-to-end NLP in 4 notebooks: text preprocessing, TF-IDF,...	21	Experimental	—	Jupyter Notebook
9	Vidhyambika/Next-Word-Prediction-using-BERT-GPT Predicting the next word for a sentence/word given using BERT	21	Experimental	—	Python
10	UnkindGoose/MultiTask-NLP-model Multitask model for NER and document-level classification. Project contains...	13	Experimental	—	Jupyter Notebook
11	yasufumy/sequence-classifier A PyTorch Library for Sequence Labeling Tasks such as Named-entity...	11	Experimental	—	Python
12	Jordan-M-Young/SBERT-torch Pytorch Implementation of Sentence-BERT	10	Experimental	2	Python