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sbrugman/deep-learning-papers resource

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled. observed · 2026-08-28

github.com/sbrugman/deep-learning-papers · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases archived 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: 3595
  • days_rel: n/a
  • days_push: 2447
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3182 stars · 403 forks observed · 2026-08-28

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

A curated reading list of deep learning research papers organized by task (code, text, vision, audio) and ordered by date, with state-of-the-art papers labeled. It is a static reference document hosted on GitHub, not executable software.

Use cases

  • find state-of-the-art deep learning papers by task
  • reading list for learning deep learning
  • find papers on image segmentation or object recognition
  • find NLP papers like summarization and question answering
  • catch up on recent arxiv deep learning research
  • find seminal papers for a literature review

When to choose

  • you want a task-organized index of deep learning papers with links
  • you need a quick reference for SOTA papers per topic
  • you are building a self-study curriculum in deep learning

When to avoid

  • you need runnable code or implementations
  • you need papers newer than the last update in 2019
  • you need peer-reviewed summaries rather than raw paper links

Facets

learning-resource · maturity maintenance

machine-learning deep-learning nlp computer-vision documentation deep-learning machine-learning computer-vision tutorials awesome-lists cross-platform papers arxiv reading-list state-of-the-art curated-list natural-language-processing

1 source

Member repositories

RepositoryRoleHealth v2
sbrugman/deep-learning-papersmain10

For agents

markdown · JSON · MCP: product_card(name="sbrugman/deep-learning-papers")

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