waterzxj/UNF

UNF(Universal NLP Framework)

39
/ 100
Emerging

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.

text-classification named-entity-recognition natural-language-processing machine-learning-engineering NLP-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

71

Forks

10

Language

Python

License

Apache-2.0

Last pushed

Mar 06, 2020

Commits (30d)

0

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