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BiomedSciAI
causallib

A Python package for modular causal inference analysis and model evaluations

2.2M 812 109
py-why
econml

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 Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

603K 5K 806
py-why
causal-learn

Causal Discovery in Python. Learning causality from data.

163K 2K 251
py-why
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.

143K 8K 1K
itamarst
eliot

Eliot: the logging system that tells you *why* it happened

83K 1K 71
maks-sh
scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

55K 804 105
cdt15
lingam

Python package for causal discovery based on LiNGAM.

30K 482 71
FenTechSolutions
cdt

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

5K 1K 202
huawei-noah
gcastle

Trustworthy AI related projects

5K 1K 249
AdamKrysztopa
dependence-forecastability

General-purpose Python toolkit for horizon-wise forecastability analysis using interchangeable dependence scorers, with AMI/pAMI support, rolling-origin benchmarking, and reproducible reporting.

3K 3 0
OscarEngelbrektson
syntheticcontrolmethods

A Python package for causal inference using Synthetic Controls

3K 193 57
wmayner
pyphi

A toolbox for integrated information theory.

2K 420 105
SUwonglab
causalegm

A General Causal Inference Framework by Encoding Generative Modeling

1K 74 11
vangj
pybbn

Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling

1K 57 16
Minyus
causallift

CausalLift: Python package for causality-based Uplift Modeling in real-world business

1K 355 45
DataCanvasIO
ylearn

YLearn, a pun of "learn why", is a python package for causal inference

886 429 79
DSsoli
esa-2scm

ESA-2SCM Python Package for Causal Discovery

701 0 0
majianthu
copent

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

656 168 31
andrewtavis
causeinfer

Machine learning based causal inference/uplift in Python

655 63 12
kuffmode
msapy

Multi-perturbation Shapley value Analysis (MSA)

636 20 3
DSsoli
scmopy

scmopy: Distribution-Agnostic Structural Causal Models Optimization in Python

628 0 0
larslorch
avici

Amortized Inference for Causal Structure Learning, NeurIPS 2022

582 75 11
cmu-phil
pytrad

Causal Discovery in Python. Learning causality from data.

580 2K 251
evan-magnusson
rdd

Python tools for regression discontinuity designs

576 70 22
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