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Search results for machine learning treatment effects
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14 search results found
Dowhy
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6,730
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Econml
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3,522
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
Causal Ml
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376
Must-read papers and resources related to causal inference and machine (deep) learning
Causeinfer
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54
Machine learning based causal inference/uplift in Python
Openasce
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35
OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, causal effect estimation and attribution algorithms all in one package.
Causaltoolbox
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23
Pyuplift
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19
Python uplift modeling implementation
Txshift
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12
📦 🎲 R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
Cfml_tools
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12
My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable and useful in the business context
Causalglm
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11
Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning
Tmle3shift
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11
🎯 🎲 Targeted Learning of the Causal Effects of Stochastic Interventions
Bites
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11
BITES: Balanced Individual Treatment Effect for Survival data
Medoutcon
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10
📦 R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
Medshift
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6
📦 🎲 R/medshift: Causal Mediation Analysis for Stochastic Interventions
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