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RedditSota / state-of-the-art-result-for-machine-learning-problems

Author description: This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

Repository stars
8,887All-time #6,252
Fork
1,292
Last push
updated 7 years ago
Repository created
since 2017
Apps & systemsDeveloper toolsApache-2.0 · PermissiveInactive
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Original · GitHub
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

Summarised by AI from the README; the original prevails

Author description: Author description: This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

Basic listing based on official public information; functionality has not been independently evaluated.

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Star trend

Includes values estimated from GitHub history
8,8858,8878,88811-06 · 8,88710-0810-1310-1810-2310-2811-0211-06
Raw observations · 3
Historical observations
Measured atRepository starsSource
2026-11-07 07:32 UTC8,887Source
2026-11-06 17:22 UTC8,887Source
2026-11-03 08:28 UTC8,888Source

First collected 2026-11-03Measured at 2026-11-07 07:32 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.