wx-chevalier/NLP-Notes
人工智能与深度学习实战 - 自然语言处理篇
This project helps you understand and apply natural language processing (NLP) techniques to real-world problems. It takes raw text data and transforms it into insights for tasks like sentiment analysis, machine translation, or text summarization. Anyone interested in learning how to use AI and deep learning for language-related challenges, such as data scientists, researchers, or students, would find this useful.
Use this if you want to learn the practical application of machine learning and deep learning to natural language processing problems.
Not ideal if you are looking for a ready-to-use software solution for a specific NLP task without needing to understand the underlying principles.
Stars
18
Forks
6
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 15, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/wx-chevalier/NLP-Notes"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
wx-chevalier/DeepLearning-Notes
人工智能与深度学习实战 - 深度学习篇
TingFree/NLPer-Arsenal
收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴(当前赛事、往期赛事、训练赛)、NLP会议时间、常用自媒体、GPU推荐等,持续更新中
hscspring/All4NLP
All For NLP, especially Chinese.
duoergun0729/nlp
兜哥出品 <一本开源的NLP入门书籍>
km1994/NLP-Interview-Notes
该仓库主要记录 NLP 算法工程师相关的面试题