Fisher87/ai_explore
机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现
This project provides practical implementations for various machine learning, deep learning, natural language processing (NLP), and recommendation system algorithms. It takes raw data, text, or user interaction logs as input and outputs trained models for tasks like classification, entity recognition, text matching, and personalized recommendations. Data scientists, machine learning engineers, and NLP specialists would use this to build and experiment with these core AI functionalities.
No commits in the last 6 months.
Use this if you are a machine learning practitioner looking for hands-on code examples and foundational algorithm implementations in areas like supervised learning, NLP tasks, and recommendation strategies.
Not ideal if you are an end-user seeking a ready-to-use application or a high-level library, as this project focuses on providing algorithm implementations for developers.
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68
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Language
Python
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Last pushed
Sep 01, 2022
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