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Python graphical-model Projects
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dowhy
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.
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auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
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InfluxDB
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I'm a fan of the Do Why library out of Microsoft. Even as a novice in the field of causal modeling it can get you up and running by estimating the causal graph based on your data. https://github.com/py-why/dowhy
Python graphical-models related posts
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Acceptable data formats for Predictive Stepwise Logistic Regression
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Do you use any specific framework when it comes to causal inference?
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Causal Explanations Considered Harmful: On the logical fallacy of causal projection
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[Q] What are some of the most useful topics/classes in philosophy for Statistics?
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[R] DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models
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A note from our sponsor - InfluxDB
www.influxdata.com | 6 May 2024
Index
Project | Stars | |
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1 | dowhy | 6,757 |
2 | auton-survival | 296 |
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