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The Top 23 Machine Learning Causality Open Source Projects

Open source projects categorized as Machine Learning Causality
Categories > Causality
Categories > Machine Learning > Machine Learning
Dowhy ⭐ 6,656
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 24 days agopypi dowhy} Downloads
Rath ⭐ 3,717
Next generation of automated data exploratory analysis and visualization platform.
most recent commit 3 months ago
Econml ⭐ 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
dependent packages 4total releases 31most recent commit 15 days agopypi econml} Downloads
Generalization Causality ⭐ 993
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization model各式各样研究的阅读笔记
most recent commit 4 months ago
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
Causalml ⭐ 665
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
most recent commit 5 months ago
Causallib ⭐ 653
A Python package for modular causal inference analysis and model evaluations
total releases 15most recent commit 6 months ago
Scikit Uplift ⭐ 572
❗ uplift modeling in scikit-learn style in python 🐍
total releases 14most recent commit a year ago
Causal_reading_group ⭐ 361
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
most recent commit 2 years ago
Lingam ⭐ 312
Python package for causal discovery based on LiNGAM.
total releases 22most recent commit 3 months ago
Looper ⭐ 201
A resource list for causality in statistics, data science and physics
most recent commit 4 months ago
Awesome Causal Inference ⭐ 169
A (concise) curated list of awesome Causal Inference resources.
most recent commit 2 years 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 9 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 8 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
Copent ⭐ 35
R package for estimating copula entropy (mutual information), transfer entropy (conditional independence), and the statistic for multivariate normality test and two-sample test
total releases 4most recent commit 8 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 4 months ago
Invariant Risk Minimization ⭐ 32
Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
most recent commit 4 years ago
Gvar ⭐ 26
An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
most recent commit a year ago
The 3 Most Depended On Machine Learning Causality Open Source Projects
The 10 Latest Releases In Machine Learning Causality Open Source Projects
Causallib ⭐ 653
A Python package for modular causal inference analysis and model evaluations
total releases 15latest release October 25, 2023most recent commit 6 months ago
Lingam ⭐ 312
Python package for causal discovery based on LiNGAM.
total releases 22latest release October 07, 2023most recent commit 3 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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