causal-inference

Here are 654 public repositories matching this topic...

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

Updated Dec 29, 2022
Python

uber / causalml

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Uplift modeling and causal inference with machine learning algorithms

machine-learning causal-inference uplift-modeling incubation

Updated Dec 27, 2022
Python

plasma-umass / coz

Sponsor

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Coz: Causal Profiling

performance-engineering profiler optimization performance-analysis causal-inference

Updated Dec 27, 2022
C

microsoft / EconML

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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

Updated Dec 22, 2022
Jupyter Notebook

rguo12 / awesome-causality-algorithms

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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

Updated Aug 10, 2022

pgmpy / pgmpy

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

python statistics simulation statistical-inference causality bayesian-networks probabilistic-graphical-models dag causal-inference structure-learning causal-models sampling-methods

Updated Dec 31, 2022
Python

quantumblacklabs / causalnex

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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

Updated Dec 24, 2022
Python

matheusfacure / python-causality-handbook

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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

Updated Dec 30, 2022
Jupyter Notebook

jrfiedler / causal_inference_python_code

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

python data-science causality causal-inference

Updated Jan 8, 2022
Jupyter Notebook

FenTechSolutions / CausalDiscoveryToolbox

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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

Updated Dec 10, 2022
Python

brylevkirill / notes

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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

Updated Feb 8, 2022

grf-labs / grf

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Generalized Random Forests

random-forest causal-inference

Updated Dec 31, 2022
C++

cmu-phil / causal-learn

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Causal Discovery for Python. Translation and extension of the Tetrad Java code.

python time-series graph structure causality causal-inference causal tetrad continous confounder causal-discovery hidden-causal

Updated Dec 17, 2022
Python

maks-sh / scikit-uplift

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❗ 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

Updated Nov 16, 2022
Python

BiomedSciAI / causallib

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A Python package for modular causal inference analysis and model evaluations

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

Updated Dec 21, 2022
Python

Kanaries / Rath

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Automated data exploratory analysis and visualization tools.

visualization machine-learning eda data-visualization data-analysis tableau data-exploration causality causal-inference datamining autovis causal-discovery augmented-analytic automated-visualization automated-data-analysis

Updated Jan 1, 2023
TypeScript

jvpoulos / causal-ml

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Must-read papers and resources related to causal inference and machine (deep) learning

machine-learning deep-learning representation-learning causal-inference treatment-effects causal-models counterfactual randomized-controlled-trials paper-list heterogeneous-treatment-effects causal-discovery counterfactual-learning estimating-treatment-effects causal-learning

Updated Nov 23, 2022

fulifeng / Causal_Reading_Group

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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.

machine-learning deep-learning recommender-system causality causal-inference