# openai/requests-for-research

A living collection of deep learning problems

Repository: https://github.com/openai/requests-for-research
Canonical: https://ross.abutalabs.com/products/requests-for-research
Homepage: https://openai.com/requests-for-research
Language: HTML
License Family: other
Archived: true
Last push: 2024-05-03T04:57:24+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3739, "days_push": 852, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1731, forks 595 (observed 2026-08-28T04:05:28.677649+00:00)

## What it is
A curated, living collection of deep learning research problems published by OpenAI to help newcomers and practitioners build research skills. The repository hosts the Jekyll source for the requests-for-research website and is now archived.

## Use cases
- find deep learning research problems to practice on
- get started in deep learning research as a beginner
- hone machine learning research skills with open problems
- find project ideas for a deep learning portfolio
- share solutions to open research problems

## When to choose
- you want well-scoped open problems to build deep learning research experience
- you are a newcomer looking for guidance on what problems are worth working on

## When to avoid
- you need maintained, up-to-date problem lists or support
- you want production software rather than a problem list

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, deep-learning
- domain: deep-learning, tutorials, education
- platform: -
- tags: research-problems, openai, jekyll-site, archive, web-server

## Member repositories
- openai/requests-for-research (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:28.677649+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 2026-08-30T03:31:43.404563+00:00, confidence not recorded.
  - readme: https://github.com/openai/requests-for-research (fetched 2026-08-28T04:05:28.677649+00:00, sha 6a86f5665f6b)
- Data as of 2026-08-30T08:39:29.467469+00:00.