# Fafa-DL/Lhy_Machine_Learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

Repository: https://github.com/Fafa-DL/Lhy_Machine_Learning
Canonical: https://ross.abutalabs.com/products/lhy_machine_learning
Language: Jupyter Notebook
License Family: other
Last push: 2023-06-03T09:07:24+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2012, "days_push": 1187, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7108, forks 1663 (observed 2026-08-28T04:09:55.963351+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, llm-inference, speech-recognition
- domain: machine-learning, deep-learning, large-language-models, tutorials, artificial-intelligence
- platform: python, cross-platform
- tags: course-materials, hung-yi-lee, jupyter-notebooks, homework, generative-ai, chinese-language

## Member repositories
- Fafa-DL/Lhy_Machine_Learning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:55.963351+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:40:07.509053+00:00, confidence not recorded.
  - readme: https://github.com/Fafa-DL/Lhy_Machine_Learning (fetched 2026-08-28T04:09:55.963351+00:00, sha 8fe8ee7d796a)
- Data as of 2026-08-30T08:39:29.467469+00:00.