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Projects in Awesome Lists tagged with causality

A curated list of projects in awesome lists tagged with causality .

https://github.com/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.

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

Last synced: 16 Dec 2024

https://microsoft.github.io/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.

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

Last synced: 03 Oct 2024

https://github.com/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.

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

Last synced: 30 Oct 2024

https://github.com/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.

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

Last synced: 16 Dec 2024

https://matheusfacure.github.io/python-causality-handbook/

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

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

Last synced: 05 Nov 2024

https://github.com/matheusfacure/python-causality-handbook

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

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

Last synced: 17 Dec 2024

https://github.com/jrfiedler/causal_inference_python_code

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

causal-inference causality data-science python

Last synced: 15 Dec 2024

https://github.com/py-why/causal-learn

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

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

Last synced: 18 Dec 2024

https://github.com/yfzhang114/generalization-causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

adaptation causality deep-learning generative-model machine-learning optimization robustness

Last synced: 04 Dec 2024

https://github.com/yfzhang114/Generalization-Causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

adaptation causality deep-learning generative-model machine-learning optimization robustness

Last synced: 15 Nov 2024

https://github.com/fentechsolutions/causaldiscoverytoolbox

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

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

Last synced: 19 Dec 2024

https://github.com/FenTechSolutions/CausalDiscoveryToolbox

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

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

Last synced: 30 Oct 2024

https://github.com/causaltext/causal-text-papers

Curated research at the intersection of causal inference and natural language processing.

causality natural-language-processing

Last synced: 27 Oct 2024

https://github.com/altdeep/causalML

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

causality machine-learning

Last synced: 11 Nov 2024

https://github.com/biomedsciai/causallib

A Python package for modular causal inference analysis and model evaluations

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

Last synced: 17 Dec 2024

https://github.com/BiomedSciAI/causallib

A Python package for modular causal inference analysis and model evaluations

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

Last synced: 30 Oct 2024

https://github.com/fulifeng/Causal_Reading_Group

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.

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

Last synced: 01 Nov 2024

https://github.com/M-Nauta/TCDF

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

causality cnn forecasting machine-learning neural-networks prediction python pytorch timeseries

Last synced: 15 Nov 2024

https://github.com/wmayner/pyphi

A toolbox for integrated information theory.

causality causation information integrated-information modeling neuroscience

Last synced: 12 Nov 2024

https://github.com/Minyus/causallift

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

causal-impact causal-inference causality counterfactual econometrics propensity-score propensity-scores uplift uplift-modeling

Last synced: 29 Oct 2024

https://github.com/salesforce/causalai

Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data

causality

Last synced: 17 Dec 2024

https://github.com/microsoft/robustdg

Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

artificial-intelligence causality domain-generalization machine-learning privacy-preserving-machine-learning

Last synced: 19 Dec 2024

https://github.com/uhlerlab/causaldag

Python package for the creation, manipulation, and learning of Causal DAGs

causal-dags causal-inference causal-models causality inference

Last synced: 27 Oct 2024

https://github.com/deepcausality-rs/deep_causality

Hyper-geometric computational causality library for Rust

causality causality-algorithms causality-analysis causality-test rust rust-lang

Last synced: 01 Nov 2024

https://github.com/reiinakano/invariant-risk-minimization

Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893

causality deep-learning invariant-risk-minimization machine-learning neural-network

Last synced: 22 Oct 2024

https://github.com/maxwshen/iap-cidl

Causal Inference & Deep Learning, MIT IAP 2018

causal-models causality inference notes

Last synced: 22 Nov 2024

https://github.com/nredell/shapflex

An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model

causal-inference causal-networks causality ensemble feature-importance iml interpretable-machine-learning machine-learning package r r-package shap shapley shapley-value shapley-values

Last synced: 07 Nov 2024

https://github.com/amanchadha/iperceive

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

attention captioning captioning-videos causality common-sense convolutional-neural-networks dense-captioning distilling-the-knowledge lstm multi-modal python python3 pytorch question-answering reasoning resnets self-attention transformers video videoqa

Last synced: 05 Nov 2024

https://github.com/py-why/dodiscover

[Experimental] Global causal discovery algorithms

causal-inference causality graphs python structure-learning

Last synced: 08 Nov 2024

https://github.com/ericmjl/causality

In which I play with the ideas surrounding causality

bayesian causal-inference causality

Last synced: 14 Oct 2024

https://github.com/py-why/pywhy-graphs

[Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.

causality graphs networkx python

Last synced: 17 Dec 2024

https://github.com/jrfiedler/causal_inference_julia_code

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

causal-inference causality data-science julia julialang

Last synced: 12 Oct 2024

https://github.com/sccn/sift

SIFT is an EEGLAB-compatible toolbox for analysis and visualization of multivariate causality and information flow between sources of electrophysiological (EEG/ECoG/MEG) activity. It consists of a suite of command-line functions with an integrated Graphical User Interface for easy access to multiple features. There are currently six modules: data preprocessing, model fitting and connectivity estimation, statistical analysis, visualization, group analysis, and neuronal data simulation.

causality connectivity eeg eeglab meg neural

Last synced: 09 Nov 2024

https://gitlab.com/agrumery/aGrUM

aGrUM is a C++ library designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes.

artificial-intelligence bayesian-network causal-inference causal-models causality cpp20 credal-network explainable-ai influence-diagram machine-learning-algorithms markov-network parallel-algorithm probabilistic-classifiers probabilistic-graphical-models probabilistic-models python python3 statistical-learning structural-learning

Last synced: 30 Sep 2024

https://github.com/divyat09/cf-feasibility

Code accompanying the paper "Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers"

causality counterfactual-explanations explainable-ml machine-learning neurips-2019

Last synced: 19 Dec 2024

https://github.com/kuffmode/msa

Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).

artificial-neural-networks brainmapping causality gametheory python shapley-value

Last synced: 12 Nov 2024

https://github.com/lgmoneda/time-robust-forest

Leverage timestamp information to improve Random Forest out of distribution generalization.

causality machine-learning machine-learning-algorithms

Last synced: 13 Nov 2024

https://github.com/IyarLin/simMixedDAG

The simMixedDAG package enables simulation of "real life" datasets from DAGs

causal-inference causality dag r r-package simulation

Last synced: 25 Oct 2024

https://github.com/donydchen/causal_emotion

☯︎[ACMMM'22] Official PyTorch Implementation of Towards Unbiased Visual Emotion Recognition via Causal Intervention

acmmm2022 causal-inference causality confounding emotion-recognition facial-expression-recognition pytorch

Last synced: 09 Nov 2024

https://github.com/cbg-ethz/dce

Finding the causality in biological pathways

bioconductor causality r

Last synced: 17 Nov 2024

https://github.com/aryamanarora/causalgym

CausalGym: Benchmarking causal interpretability methods on linguistic tasks

benchmark causality interpretability mechanistic-interpretability syntaxgym

Last synced: 15 Nov 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/mwien/cliquepicking

Algorithms for efficient counting of the size of a Markov equivalence class

algorithms causality

Last synced: 13 Nov 2024

https://github.com/gyounes/trcb_base

A Tagged Reliable Causal Broadcast (TRCB) Middleware

actor-model broadcast causal-delivery causality message-delivery middleware stability

Last synced: 19 Nov 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/frankaging/causal-distill-xxs

The Codebase for Causal Distillation for Task-Specific Models

causality language-model model-distillation natural-language-understanding

Last synced: 11 Nov 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/vahidzee/ocdaf

Ordered Causal Discovery (two-staged causal structure discovery with Deep Learning)

causal-discovery causal-ordering causality pytorch-lightning

Last synced: 06 Nov 2024

https://github.com/mwien/frontdoor-adjustment

Linear-Time Algorithm for Finding Front-Door Adjustment Sets

algorithms causality

Last synced: 13 Nov 2024

https://github.com/ababino/babino2020masks

Code for https://www.nature.com/articles/s41598-021-84679-8#MOESM1

causality coronavirus covid covid-19 covid19 masks

Last synced: 15 Nov 2024

https://github.com/borealisai/raps

Code for the paper "Causal Bandits without Graph Learning"

bandit-algorithms causality

Last synced: 06 Nov 2024

https://github.com/networks-learning/controlling-counterfactual-harm-prediction-sets

Code for "Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets", NeurIPS 2024.

causality conformal-prediction counterfactuals decision-support decision-support-system harm human-ai-teaming prediction-sets

Last synced: 17 Nov 2024

https://github.com/marmarelis/treatmentcurves.jl

Accounting for hidden confounders in estimates of dose-response curves from observational data.

causality confounding dose-response observational-studies treatment-effects

Last synced: 21 Nov 2024

https://github.com/crowdhailer/eyg

Explicit concurrency for intelligible parallel programing.

actors causality consistency dependent-types functional-programming immutability language

Last synced: 21 Dec 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/mwien/magequivalence

Code for testing Markov equivalence of MAGs

algorithms causality

Last synced: 13 Nov 2024

https://github.com/mwien/counting-with-applications

Code for paper on applications for efficiently counting the number of a Markov equivalence class

algorithms causality

Last synced: 13 Nov 2024

https://github.com/mwien/fastmecenumeration

Algorithms for efficient enumeration of all DAGs in a Markov equivalence class

algorithms causality

Last synced: 13 Nov 2024

https://github.com/pat-alt/causal_inference

A repo containing course work from an econometrics module focused on causal inference.

causality inference

Last synced: 11 Nov 2024

https://github.com/sadham-hussian/multicast-causal

This repository contains implementation of Multicast messaging using Causal ordering

causal-ordering causality distributed-systems multicast-messaging multithreading socket-programming

Last synced: 18 Nov 2024

https://github.com/rtahmasbi/doubly-gaussian-dag-probit

Bayesian Causal Inference in Doubly Gaussian DAG-probit Models

causality causality-analysis do-calculus dowhy mcmc r

Last synced: 15 Dec 2024

https://github.com/millengustavo/causality

Notes and examples on Causality

causal-diagrams causal-inference causality python

Last synced: 24 Nov 2024

https://github.com/letiziaia/notesoncausality

Personal notes about causal inference

causal-discovery causal-inference causal-models causality

Last synced: 16 Dec 2024

https://github.com/kenns29/causenet

A causality visualization tool

causality visual-analytics visualization

Last synced: 02 Dec 2024