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Statistical Computing Python Packages

Python packages with the GitHub topic statistical-computing. Sorted by monthly downloads, with stars and forks.
brycewang-stanford
stata-code

Agent-native Stata bridge for empirical research — run DiD/IV/RDD and publication-ready tables from Claude Code, Jupyter, or VS Code on one token-economy result schema, with StatsPAI cross-validation. | 面向实证研究的智能体 Stata 桥接器——在 Claude Code、Jupyter、VS Code 中用一套省 token 的结果格式跑 DiD/IV/RDD 与出版级表格,并支持 StatsPAI 跨栈交叉验证。

3K 49 5
Kaiyangshi-Ito
nonconvexag

Nonconvex Accelerated Gradient Method developed by me; paper published at Statistics and Computing -- "Accelerated gradient methods for sparse statistical learning with nonconvex penalties"

171 1 0
draktr
monte-library

Monte is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.

61 5 0
Kaiyangshi-Ito
nonconvexag-gpu

Nonconvex Accelerated Gradient Method developed by me; paper published at Statistics and Computing -- "Accelerated gradient methods for sparse statistical learning with nonconvex penalties"

56 1 0
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