Is state-of-the-art-result-for-machine-learning-problems open source?

Yes — RedditSota/state-of-the-art-result-for-machine-learning-problems is open source, released under the Apache-2.0 license.

How popular is state-of-the-art-result-for-machine-learning-problems?

RedditSota/state-of-the-art-result-for-machine-learning-problems has 8.9k stars on GitHub.

Where can I find state-of-the-art-result-for-machine-learning-problems?

RedditSota/state-of-the-art-result-for-machine-learning-problems is on GitHub at https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems.

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

The SOTA tracker that froze in February 2019

An attempt to corral every major ML benchmark score into one gloriously large, crowdsourced README.

★8.9k stars Learning

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

Not currently ranked — collecting fresh signals.

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What it does

This repository is essentially a single massive README that aggregates reported state-of-the-art results across machine learning—supervised, semi-supervised, unsupervised, transfer, and reinforcement learning—into wide tables. Each row maps a research paper to its dataset, metric, source-code link, and year. It is a manually curated leaderboard spreadsheet living inside a Git repo.

The interesting bit

The entire project is the documentation; there is no software to run. The value is purely editorial—someone did the dreary work of opening dozens of papers and copying their claimed scores into sortable tables so you do not have to. The maintainer openly admits the scope is too large for one person and begs for collaborators via email, issues, and a Google Form.

Key highlights

Covers domains from language modeling and machine translation to computer vision and reinforcement learning.
Links directly to arXiv papers and, where available, corresponding TensorFlow or PyTorch implementations.
Organized by learning paradigm rather than by task, which makes it easy to browse by research tradition.
Some table cells candidly list NOT FOUND for missing source code instead of linking to a 404.

Caveats

The README was last updated on 20th February 2019, so anything published after that date—including much of the modern transformer era—is absent.
The maintainer is actively seeking collaborators via email and a Google Form, suggesting the index is not kept current by a dedicated team.
Several entries explicitly list NOT FOUND for source code, confirming this is a reference sheet rather than a reproducibility toolkit.

Verdict

Worth a look if you are tracing 2019-era baselines, but skip it if you need current leaderboards or a reusable software library. This is a snapshot, not a service.

Frequently asked

What is RedditSota/state-of-the-art-result-for-machine-learning-problems?: An attempt to corral every major ML benchmark score into one gloriously large, crowdsourced README.
Is state-of-the-art-result-for-machine-learning-problems open source?: Yes — RedditSota/state-of-the-art-result-for-machine-learning-problems is open source, released under the Apache-2.0 license.
How popular is state-of-the-art-result-for-machine-learning-problems?: RedditSota/state-of-the-art-result-for-machine-learning-problems has 8.9k stars on GitHub.
Where can I find state-of-the-art-result-for-machine-learning-problems?: RedditSota/state-of-the-art-result-for-machine-learning-problems is on GitHub at https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems.