# ga642381/ML2021-Spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2021 Spring

Repository: https://github.com/ga642381/ML2021-Spring
Canonical: https://ross.abutalabs.com/products/ml2021-spring
Homepage: https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html
Language: Jupyter Notebook
License Family: other
Topics: machine-learning, deep-learning
Last push: 2023-11-09T09:39:15+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": 2011, "days_push": 1028, "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 1034, forks 347 (observed 2026-08-28T04:03:18.578214+00:00)

## What it is
Official repository of code and slides for the 15 homework assignments of Hung-yi Lee's Machine Learning 2021 Spring course at National Taiwan University. It accompanies lecture videos on YouTube and covers topics from regression and CNNs to GANs, BERT, and meta learning.

## Use cases
- learn machine learning fundamentals through structured homework
- practice deep learning with hands-on assignments
- find course slides and starter code for ML topics
- study transformers, GANs, and BERT with guided exercises
- follow a university-level ML curriculum self-paced

## When to choose
- you want structured, assignment-based learning for ML and deep learning
- you prefer following a well-known university course with video lectures
- you need starter code and slides for classic ML homework problems

## When to avoid
- you need a production-ready ML library or framework
- you want up-to-date course content for recent ML advances
- you require a maintained software project with a license

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning
- domain: machine-learning, deep-learning, education, tutorials
- platform: python
- tags: course-materials, homework, jupyter-notebooks, ntu, hung-yi-lee, slides

## Member repositories
- ga642381/ML2021-Spring (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:18.578214+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 2026-08-30T07:06:33.335315+00:00, confidence not recorded.
  - readme: https://github.com/ga642381/ML2021-Spring (fetched 2026-08-28T04:03:18.578214+00:00, sha c139af6880cb)
  - homepage: https://speech.ee.ntu.edu.tw/~hylee/ml/2021-spring.html (fetched 2026-08-29T13:06:16.803852+00:00, sha 44136fa355b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.