ChengjinLi/machine_learning
机器学习、深度学习、NLP实战项目
This project provides practical examples and templates for common machine learning tasks, helping you understand how different algorithms work in real-world scenarios. It takes various datasets like images or text and processes them to classify, generate, identify entities, or determine similarity. This is for data scientists, machine learning engineers, or researchers looking for ready-to-use implementations of algorithms across computer vision and natural language processing.
152 stars. No commits in the last 6 months.
Use this if you are a data science practitioner or student seeking concrete code examples and templates for tasks like image classification, text categorization, or named entity recognition.
Not ideal if you are looking for a complete, production-ready application or a high-level API to integrate into an existing system without needing to understand the underlying code.
Stars
152
Forks
36
Language
Python
License
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Category
Last pushed
Feb 26, 2018
Commits (30d)
0
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