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Top 3 Python bayesian-network 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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Civic Auth
Simple auth for Python backends. Drop Civic Auth into your Python backend with just a few lines of code. Email login, SSO, and route protection built-in. Minimal config. Works with FastAPI, Flask, or Django.
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causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python bayesian-networks discussion
Python bayesian-networks 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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How many of you still buy and read textbooks after your degree?
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Use data from tables generated in python console,
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