rickiepark/ml-with-pytorch
<머신 러닝 교과서: 파이토치 편>의 코드 저장소
This project provides practical code examples for understanding and implementing various machine learning techniques using PyTorch. It takes raw data and transforms it into trained models that can perform tasks like classification, regression, and sentiment analysis. This resource is ideal for students, data scientists, and researchers who want to learn how to build and apply machine learning models effectively.
No commits in the last 6 months.
Use this if you are studying machine learning or need practical PyTorch implementations for common ML tasks, from basic classification to advanced neural networks.
Not ideal if you are looking for a pre-built, plug-and-play solution for a specific business problem without needing to understand the underlying machine learning concepts.
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35
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22
Language
Jupyter Notebook
License
MIT
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Last pushed
Aug 02, 2025
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