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The Top 17 Python Machine Learning Causality Open Source Projects

Open source projects categorized as Python Machine Learning Causality
Categories > Causality
Categories > Machine Learning > Machine Learning
Dowhy ⭐ 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.
dependent packages 7total releases 14most recent commit 12 days agopypi dowhy} Downloads
Causaldiscoverytoolbox ⭐ 804
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
dependent packages 2total releases 37most recent commit 2 years agopypi cdt} Downloads
Scikit Uplift ⭐ 572
❗ uplift modeling in scikit-learn style in python 🐍
total releases 14most recent commit a year ago
Lingam ⭐ 312
Python package for causal discovery based on LiNGAM.
total releases 22most recent commit 4 months ago
Robustdg ⭐ 160
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
most recent commit 10 months ago
Tcdf ⭐ 121
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
most recent commit 5 years ago
Pycopent ⭐ 101
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Independence), and the statistics for multivariate normality test and two-sample test in Python
total releases 17most recent commit 9 months ago
Causeinfer ⭐ 54
Machine learning based causal inference/uplift in Python
total releases 35most recent commit 5 months ago
Benchpress ⭐ 52
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
most recent commit 3 months ago
Causal Gen ⭐ 41
(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models
most recent commit 3 months ago
Openasce ⭐ 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.
most recent commit 4 months ago
Causalgraph ⭐ 34
A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
most recent commit 5 months ago
Gvar ⭐ 26
An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
most recent commit a year ago
Time Robust Forest ⭐ 14
Leverage timestamp information to improve Random Forest out of distribution generalization.
total releases 15most recent commit a year ago
Recourse ⭐ 12
Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
most recent commit 3 years ago
Cfml_tools ⭐ 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
most recent commit 3 years ago
Unicorn ⭐ 10
A Framework for Reasoning about System Performance using Causal AI
most recent commit 2 years ago
The 2 Most Depended On Python Machine Learning Causality Open Source Projects
The 7 Latest Releases In Python Machine Learning Causality Open Source Projects
Lingam ⭐ 312
Python package for causal discovery based on LiNGAM.
total releases 22latest release October 07, 2023most recent commit 4 months ago
Causeinfer ⭐ 54
Machine learning based causal inference/uplift in Python
total releases 35latest release July 09, 2022most recent commit 5 months ago
Scikit Uplift ⭐ 572
:exclamation: uplift modeling in scikit-learn style in python :snake:
total releases 14latest release June 17, 2022most recent commit a year ago
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