# google-research/google-research

Google Research

Repository: https://github.com/google-research/google-research
Canonical: https://ross.abutalabs.com/products/google-research
Homepage: https://research.google
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: machine-learning, ai, research
Last push: 2026-08-26T23:28:07+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 2890, "days_push": 7, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 38625, forks 8464 (observed 2026-08-28T04:12:07.583875+00:00)

## What it is
A large monorepo containing code and datasets released by Google Research alongside its publications, spanning machine learning, AI, and many other research areas. It serves as the official open-source companion to Google Research papers, with each subdirectory corresponding to a project or paper.

## Use cases
- find reference implementations of Google Research papers
- download datasets released with Google Research publications
- reproduce experiments from Google AI papers
- explore example Jupyter notebooks for ML research
- study state-of-the-art machine learning research code

## When to choose
- you need code or data accompanying a specific Google Research paper
- you want reference implementations of research algorithms
- you're looking for research datasets for ML experiments

## When to avoid
- you need a production-ready, supported library with stable APIs
- you want a single cohesive tool rather than many independent projects
- you need long-term maintenance or bug-fix guarantees for a specific subproject

## Facets
- artifact type: dataset
- maturity: active
- function: machine-learning, data-science, deep-learning, nlp, computer-vision
- domain: machine-learning, artificial-intelligence, data-science
- platform: python, cross-platform
- tags: google-research, research-code, jupyter-notebooks, monorepo, datasets, academic-research, research

## Member repositories
- google-research/google-research (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:07.583875+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 2026-08-29T16:24:50.323601+00:00, confidence not recorded.
  - readme: https://github.com/google-research/google-research (fetched 2026-08-28T04:12:07.583875+00:00, sha 1022d37738b5)
  - homepage: https://research.google (fetched 2026-08-29T07:46:58.251062+00:00, sha 04bda799881b)
  - site_page: https://research.google/careers (fetched 2026-08-29T07:46:58.253911+00:00, sha a97e75c39cb5)
- Data as of 2026-08-30T08:39:29.467469+00:00.