Projects in Awesome Lists tagged with causal-inference

https://github.com/jhrcook/the-effect-notes

Notes on learning causal inference from "The Effect" by Nick Huntington-Klein.

Last synced: 11 Oct 2024

https://github.com/alan-turing-institute/causal-cyber-defence

This repository contains glue-code necessary to run dynamic Causal Bayesian optimisation within the Yawning Titan cyber-simulation environment.

bayesian-optimization causal-inference causal-models causality cybersecurity decision-making-algorithms decision-making-under-uncertainty dynamics gym-environment time-series

Last synced: 13 Nov 2024

https://github.com/nhejazi/medshift

:package: :game_die: R/medshift: Causal Mediation Analysis for Stochastic Interventions

causal-inference inverse-probability-weights machine-learning mediation-analysis stochastic-interventions targeted-learning treatment-effects

Last synced: 16 Dec 2024

https://github.com/zhijing-jin/icm4nlp

Codes for the EMNLP 2021 paper "Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP"

causal-inference causal-learning natural-language-processing seq2seq

Last synced: 16 Nov 2024

https://github.com/ngreifer/optweight

R package for estimating balancing weights using optimization

causal-inference inverse-probability-weights observational-study optimization propensity-scores

Last synced: 28 Oct 2024

https://github.com/kdl-umass/causalgpslc.jl

Causal Inference using Gaussian Processes with Structured Latent Confounders. Estimate treatment effects with Gaussian processes.

bayesian-inference causal-inference gen julia-language machine-learning mcmc

Last synced: 12 Oct 2024

https://github.com/frankaging/causal-proxy-model

The Codebase for Causal Proxy Model

causal-inference concept-learning explainable-ai interpretability model-explanation

Last synced: 11 Nov 2024

https://github.com/janteichertkluge/dmlsim

This library provides packages on DoubleML / Causal Machine Learning and Neural Networks in Python for Simulation and Case Studies.

beit bert case-study causal causal-inference causal-machine-learning deep-learning dgp double-machine-learning doubleml machine-learning multi-modal multimodal multimodal-deep-learning neural-network simulation transformer transformers

Last synced: 14 Oct 2024

https://github.com/fritzbayer/causal-discovery-research-papers

A curated list of causal structure learning research papers with implementations.

bayesian-network bayesian-networks causal-discovery causal-inference causality dag structure-learning

Last synced: 17 Nov 2024

https://github.com/ichalkiad/cryptogpcausality

This repository contains the code for the paper "Sentiment-driven statistical causality in multimodal systems", by Ioannis Chalkiadakis, Anna Zaremba, Gareth W. Peters and Michael J. Chantler.

causal-inference causality causality-analysis cryptocurrency cryptocurrency-exchanges gaussian-processes multimodal-learning multimodal-sentiment-analysis natural-language-procressing public-news sentiment-analysis statistical-models text-mining

Last synced: 15 Dec 2024

https://github.com/devanshu24/covid-19-forecaster

Forecasting and finding causes of the spread of COVID-19 in India

bayesian-inference causal-inference machine-learning

Last synced: 20 Dec 2024

https://github.com/benkeser/drord

Doubly robust estimators of ordinal treatment effects

causal-inference covid-19 double-robust mann-whitney ordinal-regression

Last synced: 16 Dec 2024

https://github.com/amazon-science/causal-validation

Validate your causal models!

causal-inference economics machine-learning statistics

Last synced: 12 Nov 2024

https://github.com/inoueakimitsu/wbic_bml

Statistical Causal Inference Library using Bayesian Mixed LiNGAM and WBIC

causal-inference data-science model-selection pymc3 python statistics

Last synced: 09 Nov 2024

https://github.com/FrankLef/fciR

Functions and data used with Fundamentals of Causal Inference by Babette Brumback

babette-brumback causal-inference potential-outcome

Last synced: 04 Dec 2024

https://github.com/nhejazi/biotmle

:package: :microscope: R/biotmle: Targeted Learning with Moderated Statistics for Biomarker Discovery

bioconductor bioconductor-package bioconductor-packages bioinformatics biomarker-discovery biostatistics causal-inference computational-biology machine-learning r statistics targeted-learning

Last synced: 16 Dec 2024

https://github.com/tkusmierczyk/badges

Causal Effect of Digital (First-time) Badges in Social Platforms

badges causal-inference causality machine-learning point-process social-media temporal-data

Last synced: 21 Nov 2024

https://github.com/jrgant/quickdag

Build, save, and embed directed acyclic graphs (DAGs)

causal-inference diagrams directed-acyclic-graphs epidemiology

Last synced: 16 Nov 2024

https://github.com/jaydu1/causalmultioutcomes

Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes

causal-inference multiple-testing multitask-learning

Last synced: 02 Dec 2024

https://github.com/samdewriter/breastcancer-causalityinference

The repository shows an approach to perform casual inference on Breast Cancer Data. Causal inference is carried out to determine the independent, actual effect of breast cancer that is component of a larger system

causal-analysis causal-inference machine-learning

Last synced: 25 Dec 2024

https://github.com/inoueakimitsu/cyclicmodel

Statistical causal discovery based on cyclic model

causal-inference data-science probabilistic-programming pymc3 statistics

Last synced: 09 Nov 2024

https://github.com/jennalandy/interference-review

A review of causal inference approaches with partial interference

causal-inference interference review

Last synced: 17 Nov 2024

https://github.com/networks-learning/cfact-inference-second-opinions

Code for "Counterfactual Inference of Second Opinions", UAI 2022

causal-inference causality counterfactual-explanations counterfactual-inference gumbel-max human-ai-teaming machine-learning uai2022

Last synced: 17 Nov 2024

https://github.com/hscspring/bayes-graph-and-causal-inference

Graph based Bayes causal inference.

bayesian-inference bayesian-network causal-inference

Last synced: 03 Jan 2025

https://github.com/sodascience/workshop_causal_impact_assessment

Repository containing materials for the ODISSEI workshop on causal impact assessment

causal-inference policy-evaluation workshop

Last synced: 25 Nov 2024

https://github.com/lucadiba/renewable-causal-effects

Exploring causal effects of renewable energy on countries development and more. This project is part of course CS 520 Causal Inference and Learning at University of Illinois at Chicago.

causal-inference renewable-energy

Last synced: 01 Jan 2025

https://github.com/torinriley/causal-embedding-correction

Mitigating treatment leakage in text embeddings using embedding decomposition and residualization for robust causal inference.

causal-inference text-embedding

Last synced: 30 Dec 2024

https://github.com/kayleedavisgithub/graduate_methods_handbook

Book project detailing introductory methods for data scientists using R.

causal-inference data-science graduate-course latex-document network-analysis r statistical-analysis

Last synced: 14 Nov 2024

https://github.com/koukyosyumei/ml_from_scratch

implement machine learning models from scratch

causal-inference decision-tree golang irt item-response-theory latent-dirichlet-allocation lda machine-learning matrix-decomposition propensity-score random-forest stan variational-bayes

Last synced: 12 Nov 2024

https://github.com/athammad/syntcf

syntCF is an R package that provides a set of tools to estimate the effect of a program or a policy using a robust time series synthetic counterfactual approach coupled with the double difference estimator within a Machine Learning framework.

causal-inference machine-learning policy-evaluation program-evaluation r time-series

Last synced: 12 Nov 2024

https://github.com/tkusmierczyk/badges2

Determining Impact of Social Media Badges through Joint Clustering of Temporal Traces and User Features.

badges causal-inference causality machine-learning point-process social-media temporal-data

Last synced: 21 Nov 2024

https://github.com/jbris/synthetic-control-pymc

Tutorials for the synthetic control method for causal inference using PyMC

bayesian-inference bayesian-models bayesian-statistics causal-discovery causal-inference causal-modeling causal-modelling causal-models causality causality-algorithms causality-analysis pymc python synthetic-control synthetic-control-method

Last synced: 13 Nov 2024

https://github.com/joisino/twinpaper

Code for "Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling" (CIKM 2022)

causal-inference data research science-of-science

Last synced: 27 Nov 2024

https://github.com/nhejazi/pub_medshift_interv_biostats

Source files for reproducing results reported in the manuscript "Nonparametric Causal Mediation Analysis for Stochastic Interventional (In)Direct Effects" (N.S. Hejazi, K.E. Rudolph, M.J. van der Laan, I. Díaz, Biostatistics, 2022)

causal-inference interventional-effects manuscript mediation-analysis stochastic-interventions

Last synced: 16 Dec 2024

https://github.com/nhejazi/talk_txshift

:speech_balloon: Talk on causal inference and variable importance with stochastic interventions under two-phase sampling

causal-inference censored-data inverse-probability-weights machine-learning marginal-structural-models stochastic-interventions targeted-learning variable-importance

Last synced: 16 Dec 2024

https://github.com/torinriley/bayesian-yelp-causal-inference

A Bayesian causal inference model with BERT embeddings to analyze review length impact on sentiment polarity while quantifying uncertainty.

bayesian-inference causal-inference

Last synced: 06 Jan 2025

https://github.com/atls0572212529/rath--5181-

Next generation of automated data exploratory analysis and visualization platform.

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

Last synced: 27 Dec 2024

https://github.com/mynameisvinn/basilisk

bayesian networks made easy

bayesian-network causal-inference causal-models

Last synced: 27 Dec 2024

https://github.com/marek-chadim/coursework

Lecture slides, notes, assignments, code and data

causal-inference computational-economics data-science econometrics economics machine-learning statistics

Last synced: 27 Dec 2024

https://github.com/kwonnayeon/data-science-consulting-solutions

Data science consulting solutions focusing on ML/AI content filtering systems. Built with Python, AWS, and causal inference.

aws causal-inference data-science machine-learning mlops python

Last synced: 25 Nov 2024

https://github.com/kaz-yos/regmedint-supplement

pdf supplement document for regmedint

causal-inference mediation-analysis

Last synced: 12 Nov 2024

https://github.com/npodlozhniy/timeseries-utils

The custom wrapper for popular libraries for timeseries forecasting and analysis

causal-inference timeseries-analysis timeseries-forecasting

Last synced: 01 Dec 2024

https://github.com/fisseha-estifanos/delivery_drivers

A delivery optimization project using causal inference and logistic optimization

causal-inference delivery-optimization logistic-optimization python3

Last synced: 03 Jan 2025

https://github.com/weinstockj/llcb

Contains the LLCB method from Weinstock* and Arce* et al., 2023

causal-inference julia-language

Last synced: 21 Nov 2024

https://github.com/abdul-aa/causal-inference-life-expectancy

Using CausalML to assess the causal impact of a country's development status on its life expectancy

causal-inference causalml shap

Last synced: 19 Nov 2024

https://github.com/topazape/statistical-causal-inference-theory-and-practice

『統計的因果推論の理論と実装』（共立出版）中のコードを R で実装し直しています

causal-inference r tidyverse

Last synced: 15 Dec 2024

https://github.com/nhejazi/talk_medshift

:speech_balloon: Talk on mediation effects based on stochastic interventions

causal-inference machine-learning mediation-analysis stochastic-interventions targeted-learning

Last synced: 16 Dec 2024

https://github.com/j-sephb-lt-n/knowledge-base

A large pile of interesting and/or useful information

algorithms causal-inference data-normalization database kelly-criterion large-language-models llm machine-learning nlp obsidian-md plotly-dash prompt-engineering regex semi-supervised-learning statistics

Last synced: 28 Dec 2024

https://github.com/nhejazi/blog_almost_surely

:pencil: "Almost Surely?" - an attempt at a blog on statistics, software, and science

applied-statistics biostatistics blog causal-inference data-science machine-learning statistics

Last synced: 16 Dec 2024

https://github.com/igutierrezm/blopmatch

Treatment-effects estimation by blop-matching in Stata

blop-matching causal-inference matching stata treatment-effects

Last synced: 26 Dec 2024

https://github.com/kwonnayeon/urban-parks-childrens-happiness

A thesis project exploring the causal impact of urban parks on children's happiness, with data, results, and code.

causal-inference data-analysis environmental-psychology latex matching propensity-score public-health r social-science statistical-analysis thesis-project urban-studies weighting

Last synced: 20 Dec 2024

https://github.com/abdul-aa/black-friday-consumer-experience--before-and-after-covid-

Analyzed posts on Reddit related to Black Friday using topic modeling, sentiment analysis, linear regression, and other statistical techniques to uncover user attitudes and trends.

causal-inference lda-model linear-regression natural-language-processing textpreprocessing topic-modeling vader-sentiment-analysis