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 (4 months ago)

Commits 46 (last one 8 days ago)

Stargazers 42 (0 this week)

Watchers 5 (0 this week)

Forks 3

License apache-2.0

Ranking

RepositoryStats indexes 595,890 repositories, of these bytedance/CausalMatch is ranked #510,124 (14th percentile) for total stargazers, and #335,639 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,895/17,543.

bytedance/CausalMatch is also tagged with popular topics, for these it's ranked: machine-learning (#7,211/8062), causal-inference (#97/114)

Other Information

There have been 3 releases, the latest one was published on 2024-12-10 (11 days ago) with the name v0.0.4.

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

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

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Issue History

No issues have been posted

Languages

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

updated: 2024-12-14 @ 09:35am, id: 836720183 / R_kgDOMd9WNw