py-why / EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
RepositoryStats indexes 523,840 repositories, of these py-why/EconML is ranked #12,747 (98th percentile) for total stargazers, and #24,505 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #286/14,471.
py-why/EconML has 20 open pull requests on Github, 276 pull requests have been merged over the lifetime of the repository.
Github issues are enabled, there are 327 open issues and 220 closed issues.
There have been 32 releases, the latest one was published on 2024-02-27 (3 months ago) with the name v0.15.0.
Homepage URL: https://www.microsoft.com/en-us/research/project/alice/
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151 commits on the default branch (main) since jan '22
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updated: 2024-05-31 @ 06:54pm, id: 131646318 / R_kgDOB9jDbg