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hurshd0/must-read-papers-for-ml resource

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer observed · 2026-08-28

github.com/hurshd0/must-read-papers-for-ml · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

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: 2501
  • days_rel: n/a
  • days_push: 1006
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1382 stars · 180 forks observed · 2026-08-28

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

A curated collection of must-read papers, reviews, and articles for Data Science, Machine Learning, and Deep Learning practitioners. It organizes foundational and influential papers by topic with suggested reading order.

Use cases

  • find must-read machine learning papers
  • curated deep learning reading list
  • learn data science fundamentals through papers
  • find classic papers on neural networks and CNNs
  • reading list for aspiring ML engineers
  • find papers on recommender systems and boosting
  • essential statistics and EDA papers for data scientists

When to choose

  • you want a curated, ranked list of foundational ML/DL papers
  • you are a data science or ML engineer building theoretical foundations
  • you want topic-organized paper recommendations with reading order

When to avoid

  • you need tutorials or hands-on code rather than academic papers
  • you need up-to-date research on cutting-edge topics
  • you want interactive courses or video-based learning

Facets

learning-resource · maturity maintenance

documentation machine-learning deep-learning data-science tutorials awesome-lists cross-platform papers reading-list curated-list neural-networks recommender-systems

1 source

Member repositories

RepositoryRoleHealth v2
hurshd0/must-read-papers-for-mlmain32

For agents

markdown · JSON · MCP: product_card(name="hurshd0/must-read-papers-for-ml")

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