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List of Causal Libraries

Name	Team	Software	Keywords	link
causalai	Salesforce	Python	Discovery \| Time Series \| basic-inference	https://github.com/salesforce/causalai
pycid	Causal Incentives Working Group a collaboration with Oxford, DeepMind and Toronto researchers	Python	bayesian-networks \| influence-diagrams	https://github.com/causalincentives/pycid
causal-learn	Center for Causal Discovery, pittsbugh	Python	discovery \|hidden-causal \| Time Series basic-inference \| tetrad	https://github.com/causalincentives/pycid
CausalImpact	Google, Inc	R	Bayesian time-series	https://github.com/google/CausalImpact
EconML	Microsoft Research	Python	Machine Learning Based Estimation of Heterogeneous Treatment Effects	https://econml.azurewebsites.net/index.html
causalnex	Petuum	Python	augment model \| structure learning	https://causalnex.readthedocs.io/en/latest/index.html
dowhy	Microsoft Research	Python	Double ML \| Matching \| Balancing Synthetic control Outcome-based Learners (e.f. X-Learner) Dif&Dif \| basic-inference	https://github.com/py-why/dowhy
causalToolbox	University of California	R	X-learner	https://github.com/forestry-labs/causalToolbox
showwhy	Microsoft Research	TypeScript	no-code interfaces	https://github.com/microsoft/showwhy
causalimages-software	The University of Texas at Austin	R	computer-vision \| earth-observation biomedical-image-analysis	https://github.com/cjerzak/causalimages-software
gCastle	Huawei Noah's Ark Lab	Python	Structure Learning gradient-based learning	https://github.com/huawei-noah/trustworthyAI/tree/master/gcastle
causallib	BiomedSciAI	Python	basic-inference	https://github.com/BiomedSciAI/causallib
causal-cmd	Center for Causal Discovery, pittsbugh	java	CMD based \| discovery	https://bd2kccd.github.io/docs/causal-cmd/
ResearchMap	UCLA	JS	Optimal experiments \| augmented models	https://github.com/ResearchMaps/

Список для чтения по поведенческой и экспериментальной экономике

5 лет назад совместно с «Всероссийской государственной библиотекой иностранной литературы имени М.И.Рудомино» я сделал рекомендательный список литературы и периодики, посвященных поведенческой экономике. Публикую его сегодня, следуя рекомендации, когда-то данной мне Быковским – спустя 5 лет, и сопровождая сегодняшними комментариями.