causal-models
Tracked open-source repos tagged causal-models, sorted by stars.
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Repos created in the last 90 days, tagged causal-models.
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- #1
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.
★ 8,297+6Star change over the last 7 days - #2★ 3,323+2Star change over the last 7 days
- #3
A Python library that helps data scientists to infer causation rather than observing correlation.
★ 2,477+1Star change over the last 7 days - #4
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
★ 1,237+0Star change over the last 7 days - #5★ 835+1Star change over the last 7 days
- #6
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
★ 645+3Star change over the last 7 days - #7★ 505+1Star change over the last 7 days