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causal-inference

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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.

data-science machine-learning python3 graphical-models causality bayesian-networks causal-inference treatment-effects causal-models do-calculus causal-machine-learning

UpdatedMar 19, 2025
Python

causalml

uber /causalml

Uplift modeling and causal inference with machine learning algorithms

machine-learning causal-inference uplift-modeling incubation

UpdatedMar 23, 2025
Python

Rath

Kanaries /Rath

Next generation of automated data exploratory analysis and visualization platform.

visualization machine-learning eda data-visualization data-analysis tableau data-exploration causality causal-inference datamining autovis causal-discovery automated-visualization k6s automated-data-analysis augmented-analytics kanaries tableau-alternative

UpdatedAug 20, 2024
TypeScript

plasma-umass /coz

Coz: Causal Profiling

performance-engineering profiler optimization performance-analysis causal-inference

UpdatedJan 25, 2025
C

EconML

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 …

machine-learning economics econometrics causality causal-inference treatment-effects

UpdatedMar 24, 2025
Jupyter Notebook

rguo12 /awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome learning-to-rank recommender-system causality causality-analysis causal-inference multilabel-classification baselines causality-algorithms unconfoundedness-assumption

UpdatedJan 22, 2025

python-causality-handbook

matheusfacure /python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

python data-science econometrics causality causal-inference harmless-econometrics impact-estimation

UpdatedDec 9, 2024
Jupyter Notebook

pgmpy /pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

python inference simulations bayesian-networks causal-inference structure-learning causal-discovery causal-identification

UpdatedMar 25, 2025
Python

causalnex

mckinsey /causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

data-science machine-learning bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex

UpdatedJun 26, 2024
Python

tangxyw /RecSysPapers

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

reinforcement-learning match rank calibration recommendation-system cold-start papers multi-modal causal-inference multi-task fairness debias multi-scenario distillation diverse re-rank look-alike contrastive-learning pre-rank feedback-delay

UpdatedMar 26, 2025
Python

py-why /causal-learn

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

python statistics time-series graph structure independence-tests causality causal-inference causal tetrad confounder causal-discovery hidden-causal causal-representation-learning

UpdatedMar 18, 2025
Python

jrfiedler /causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

python data-science causality causal-inference

UpdatedJan 8, 2022
Jupyter Notebook

FenTechSolutions /CausalDiscoveryToolbox

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

python machine-learning algorithm graph inference toolbox causality causal-inference causal-models graph-structure-recovery causal-discovery

UpdatedApr 2, 2024
Python

huawei-noah /trustworthyAI

Trustworthy AI related projects

python machine-learning statistics graph structure independence-tests causality causal-inference causal-discovery

UpdatedMar 11, 2025
Python

grf

grf-labs /grf

Generalized Random Forests

machine-learning statistics random-forest econometrics causal-inference causal-forest

UpdatedNov 15, 2024
C++

CausalPy

pymc-labs /CausalPy

A Python package for causal inference in quasi-experimental settings

pymc causal-inference quasi-experimental quasi-experiments

UpdatedMar 25, 2025
Python

matteocourthoud /awesome-causal-inference

A curated list of causal inference libraries, resources, and applications.

awesome causal-inference

UpdatedMar 13, 2025

brylevkirill /notes

Learn about Machine Learning and Artificial Intelligence

machine-learning natural-language-processing information-retrieval reinforcement-learning deep-learning artificial-intelligence knowledge-graph question-answering probabilistic-programming bayesian-inference recommender-systems causal-inference knowledge-representation reasoning

UpdatedFeb 8, 2022

BiomedSciAI /causallib

A Python package for modular causal inference analysis and model evaluations

data-science machine-learning ml causality causal-inference causal causal-models

UpdatedMar 20, 2025
Python

scikit-uplift

maks-sh /scikit-uplift

❗ uplift modeling in scikit-learn style in python 🐍

machine-learning causality causal-inference uplift-modeling individual-treatment-effects uplift true-lift net-lift uplift-modelling

UpdatedOct 21, 2023
Python

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