bytedance / CausalMatch

CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.

Date Created 2024-08-01 (3 months ago)

Commits 35 (last one 14 days ago)

Stargazers 39 (0 this week)

Watchers 5 (0 this week)

Forks 3

License apache-2.0

Ranking

RepositoryStats indexes 584,353 repositories, of these bytedance/CausalMatch is ranked #518,127 (11th percentile) for total stargazers, and #332,313 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,259/17,098.

bytedance/CausalMatch is also tagged with popular topics, for these it's ranked: machine-learning (#7,302/7926), causal-inference (#99/110)

Other Information

There have been 1 release, the latest one was published on 2024-08-20 (3 months ago) with the name v0.0.2.

All Topics

econometrics causal-inference machine-learning

Star History

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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

35 commits on the default branch (main) since jan '22

Yearly Commits

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Issue History

No issues have been posted

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-14 @ 06:24pm, id: 836720183 / R_kgDOMd9WNw