waterzxj/UNF
UNF(Universal NLP Framework)
This project helps developers quickly build and experiment with text classification and sequence labeling models. It takes raw text data as input and outputs classifications or labeled sequences, useful for tasks like sentiment analysis or named entity recognition. It's designed for machine learning engineers and NLP researchers who need to efficiently train and deploy custom text processing solutions.
No commits in the last 6 months.
Use this if you are a developer or researcher looking to quickly prototype, train, and deploy custom text classification or sequence labeling models with options for distributed training and C++ serving.
Not ideal if you need an out-of-the-box solution for complex NLP tasks beyond classification and sequence labeling, or if you prefer a low-code/no-code interface.
Stars
71
Forks
10
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 06, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/waterzxj/UNF"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GaoQ1/rasa_nlu_gq
turn natural language into structured data(支持中文,自定义了N种模型,支持不同的场景和任务)
yongzhuo/nlp_xiaojiang
自然语言处理(nlp),小姜机器人(闲聊检索式chatbot),BERT句向量-相似度(Sentence Similarity),XLNET句向量-相似度(text xlnet...
textgain/grasp
Essential NLP & ML, short & fast pure Python code
boat-group/fancy-nlp
NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your...
changwookjun/nlp-paper
NLP Paper