Econml Alternatives

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.
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Alternatives To py-why/EconML
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
OpenBB-finance/OpenBBTerminal 25,416 0 5 about 2 years ago 34 November 30, 2023 283 mit Python
Investment Research for Everyone, Everywhere.
py-why/EconML 3,400 0 4 about 2 years ago 31 November 11, 2023 326 other Jupyter Notebook
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.
salesforce/ai-economist 1,022 0 0 over 2 years ago 13 March 04, 2022 26 bsd-3-clause Python
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
microsoft/0xDeCA10B 508 0 0 almost 3 years ago 0 18 mit Python
Sharing Updatable Models (SUM) on Blockchain
vkoul/Econ-Data-Science 100 0 0 almost 4 years ago 0 0 HTML
Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart:
edugca/xlRcode 34 0 0 about 2 years ago 0 3 mit R
Call R from Excel. Create new Excel functions that make use of R packages. Integrate both tools seamlessly.
saisrivatsan/deep-opt-auctions 33 0 0 over 6 years ago 0 0 mit Jupyter Notebook
Implementation of Optimal Auctions through Deep Learning
lukanovak93/advanced-machine-learning-specialization 25 0 0 about 4 years ago 0 42 Jupyter Notebook
Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics
matteocourthoud/Machine-Learning-for-Economic-Analysis 23 0 0 about 4 years ago 0 0 mit Jupyter Notebook
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
jameslamb/talks 22 0 0 over 2 years ago 0 0 bsd-3-clause CSS
Conference talks, meetup talks, and misc. writing
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