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.

⭐ 4513 | 🍴 798

Fincept-Corporation/FinceptTerminal

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

⭐ 2652 | 🍴 444

antontarasenko/awesome-economics

A curated collection of links for economists

⭐ 1588 | 🍴 218

mortada/fredapi

Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)

⭐ 1121 | 🍴 171