geyingli/unif
基于 Tensorflow，仿 Scikit-Learn 设计的深度学习自然语言处理框架。支持 40 余种模型类，涵盖语言模型、文本分类、NER、MRC、知识蒸馏等各个领域
This project helps Natural Language Processing (NLP) professionals quickly build and train deep learning models for various text-related tasks. It takes raw text and desired outcomes (like categories or extracted entities) as input, then produces a trained model that can classify text, generate content, or understand language. It is designed for practitioners who need to rapidly prototype and deploy advanced NLP solutions.
117 stars. No commits in the last 6 months.
Use this if you are an NLP professional needing a streamlined way to implement and experiment with a wide range of state-of-the-art deep learning models for text processing.
Not ideal if you are looking for a no-code solution or prefer to deeply customize every low-level detail of your TensorFlow model architecture.
Stars
117
Forks
28
Language
Python
License
Apache-2.0
Category
Last pushed
May 10, 2023
Commits (30d)
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