# aleju/papers

Summaries of machine learning papers

Repository: https://github.com/aleju/papers
Canonical: https://ross.abutalabs.com/products/papers
License Family: other
Topics: machine-learning, deep-learning, paper, summary, computer-vision, nlp, gan, deep-reinforcement-learning
Last push: 2020-10-29T17:10:04+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3848, "days_push": 2134, "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 2502, forks 432 (observed 2026-08-28T04:06:56.952242+00:00)

## What it is
A curated collection of short, readable summaries of machine learning research papers, covering topics like deep learning, computer vision, NLP, GANs, and reinforcement learning. It serves as a study aid for quickly understanding key papers without reading the full texts.

## Use cases
- quickly understand machine learning papers without reading full pdfs
- find summaries of GAN and computer vision research
- study deep reinforcement learning papers
- catch up on notable ML papers from 2016-2018
- prepare for ML research reading groups
- learn key ideas from object detection papers

## When to choose
- you want concise digests of classic ML/DL papers
- you need a quick refresher on a paper's core ideas
- you're exploring computer vision, GANs, or NLP research history

## When to avoid
- you need summaries of recent papers (last update was 2020)
- you want full paper texts or implementations
- you need exhaustive coverage of a subfield

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, nlp, computer-vision, deep-learning
- domain: machine-learning, deep-learning, computer-vision, tutorials
- platform: cross-platform
- tags: paper-summaries, research-notes, gan, reinforcement-learning, study-guide, natural-language-processing

## Member repositories
- aleju/papers (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:56.952242+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 2026-08-30T02:26:49.132873+00:00, confidence not recorded.
  - readme: https://github.com/aleju/papers (fetched 2026-08-28T04:06:56.952242+00:00, sha e5cf877dc990)
- Data as of 2026-08-30T08:39:29.467469+00:00.