Fafa-DL/Lhy_Machine_Learning resource

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7108 stars · 1663 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of lecture slides, notes, and homework assignments for Hung-yi Lee's 2021/2022/2023 Spring Machine Learning courses, maintained with the instructor's authorization. It covers topics from basic ML concepts to generative AI, diffusion models, and large language models, with materials in Chinese.

Use cases

• learn machine learning fundamentals from a university course
• find homework exercises for deep learning practice
• study how diffusion models and LLMs work
• follow a structured ML curriculum in Chinese
• get course slides and assignments for Hung-yi Lee's ML class

When to choose

• you want free, well-structured university ML course materials
• you prefer Chinese-language lectures on modern ML and generative AI
• you want hands-on homework assignments alongside theory

When to avoid

• you need a software library or tool for production use
• you require English-only learning materials
• you need actively updated content beyond 2023

Facets

learning-resource · maturity maintenance

machine-learning deep-learning llm-inference speech-recognition machine-learning deep-learning large-language-models tutorials artificial-intelligence python cross-platform course-materials hung-yi-lee jupyter-notebooks homework generative-ai chinese-language

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