virginiakm1988/ML2022-Spring resource

Health v2 · maintenance only

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2588 stars · 539 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official repository of code, slides, and videos for Hung-yi Lee's Machine Learning 2022 Spring course at National Taiwan University, containing 15 homework assignments in Jupyter Notebooks. It covers topics from regression and CNNs to Transformers, GANs, BERT, and reinforcement learning.

Use cases

• learn machine learning from a university course
• find homework exercises for deep learning
• study transformer and self-attention implementations
• learn GANs and autoencoders with code examples
• practice PyTorch with guided tutorials
• self-study a full ML curriculum
• understand BERT and self-supervised learning

When to choose

• you want a structured, full-semester ML course with graded-style homework
• you prefer learning through Jupyter notebooks with accompanying lecture videos and slides
• you want free, official course materials covering both classic ML and modern deep learning topics

When to avoid

• you need a production-ready ML library or framework
• you want actively updated content for the latest models
• you need a license permitting redistribution of the materials

Facets

learning-resource · maturity maintenance

machine-learning deep-learning machine-learning deep-learning tutorials python cross-platform course-materials jupyter-notebooks hung-yi-lee ntu homework pytorch transformers gan reinforcement-learning self-supervised-learning

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