ga642381/ML2021-Spring resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1034 stars · 347 forks observed · 2026-08-28

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

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

learning-resource · maturity maintenance

machine-learning deep-learning machine-learning deep-learning education tutorials python course-materials homework jupyter-notebooks ntu hung-yi-lee slides

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ga642381/ML2021-Spring")