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ndb796/Deep-Learning-Paper-Review-and-Practice resource

꼼꼼한 딥러닝 논문 리뷰와 코드 실습 observed · 2026-08-28

github.com/ndb796/Deep-Learning-Paper-Review-and-Practice · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2192
  • days_rel: n/a
  • days_push: 1527
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1171 stars · 330 forks observed · 2026-08-28

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

A Korean-language educational repository collecting thorough reviews of popular deep learning papers with accompanying code practice notebooks. It covers image recognition and NLP papers such as ResNet, DETR, Transformer, and BERT, with video reviews, summary PDFs, and PyTorch-style Jupyter implementations.

Use cases

  • learn deep learning by implementing papers
  • understand the transformer architecture with code
  • study ResNet with MNIST and CIFAR-10 notebooks
  • review BERT paper with practical examples
  • learn style transfer from classic papers
  • find summaries of popular computer vision papers

When to choose

  • you prefer learning papers alongside runnable Jupyter notebook implementations
  • you want Korean-language explanations of landmark deep learning papers
  • you need curated links to papers, videos, and summary PDFs in one place

When to avoid

  • you need production-ready or maintained deep learning libraries
  • you require English-only learning materials
  • you need up-to-date coverage of the latest papers, as the repo has not been updated since 2022

Facets

learning-resource · maturity maintenance

deep-learning machine-learning nlp computer-vision deep-learning machine-learning computer-vision tutorials python paper-reviews jupyter-notebooks korean educational transformers style-transfer natural-language-processing

1 source

Member repositories

RepositoryRoleHealth v2
ndb796/Deep-Learning-Paper-Review-and-Practicemain32

For agents

markdown · JSON · MCP: product_card(name="ndb796/Deep-Learning-Paper-Review-and-Practice")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem