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Repositories in this selection 6 · UTC 2026-11-04
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1—Sstatsmodels / statsmodelsStatsmodels: statistical modeling and econometrics in PythonPythonBSD-3-Clause · PermissiveInsufficient rank history11,7353,660——2026-11-02
2—Ccantaro86 / Financial-Models-Numerical-MethodsCollection of notebooks about quantitative finance, with interactive python code.Jupyter NotebookAGPL-3.0 · Share derivative sourceInsufficient rank history7,5201,283——2026-10-05
3—NNixtla / statsforecastLightning ⚡️ fast forecasting with statistical and econometric models.PythonApache-2.0 · PermissiveInsufficient rank history4,958430——2026-11-02
4—Ppy-why / EconMLALICE (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.Jupyter NotebookNOASSERTION · Restricted / unknownInsufficient rank history4,839834——2026-11-02
5—Mmatheusfacure / python-causality-handbookCausal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.Jupyter NotebookMIT · PermissiveInsufficient rank history3,508622——2026-10-06
6—Uunslothai / hyperlearnAuthor description: 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.Jupyter NotebookApache-2.0 · PermissiveInsufficient rank history2,529170——2024-11-19
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