Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Openbbterminal | 26,037 | 5 | 5 days ago | 34 | November 30, 2023 | 283 | mit | Python | ||
Investment Research for Everyone, Everywhere. | ||||||||||
Econml | 3,522 | 4 | 24 days 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. | ||||||||||
Ai Economist | 1,022 | 9 months 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). | ||||||||||
0xdeca10b | 508 | 10 months ago | 18 | mit | Python | |||||
Sharing Updatable Models (SUM) on Blockchain | ||||||||||
Econ Data Science | 100 | 2 years ago | HTML | |||||||
Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart: | ||||||||||
Xlrcode | 34 | 3 months ago | 3 | mit | R | |||||
Call R from Excel. Create new Excel functions that make use of R packages. Integrate both tools seamlessly. | ||||||||||
Deep Opt Auctions | 33 | 4 years ago | mit | Jupyter Notebook | ||||||
Implementation of Optimal Auctions through Deep Learning | ||||||||||
Advanced Machine Learning Specialization | 25 | 2 years ago | 42 | Jupyter Notebook | ||||||
Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics | ||||||||||
Machine Learning For Economic Analysis | 23 | 2 years ago | mit | Jupyter Notebook | ||||||
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH | ||||||||||
Talks | 22 | 4 months ago | bsd-3-clause | CSS | ||||||
Conference talks, meetup talks, and misc. writing |