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: 12 Dec 2025
https://github.com/kanaries/rath
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: 14 May 2025
https://github.com/Kanaries/Rath
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: 04 Apr 2025
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: 13 Dec 2025
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: 26 Mar 2025
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: 14 May 2025
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: 04 Apr 2025
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: 28 Dec 2025
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: 16 May 2025
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: 08 May 2025
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: 26 Jan 2026
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: 15 May 2025
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: 26 Mar 2025
https://github.com/itamarst/eliot
Eliot: the logging system that tells you *why* it happened
asyncio causality causality-analysis causation dask elasticsearch journald logging logging-library numpy python scientific-computing tracing twisted
Last synced: 14 May 2025
https://github.com/huawei-noah/trustworthyai
Trustworthy AI related projects
causal-discovery causal-inference causality graph independence-tests machine-learning python statistics structure
Last synced: 14 May 2025
https://github.com/huawei-noah/trustworthyAI
Trustworthy AI related projects
causal-discovery causal-inference causality graph independence-tests machine-learning python statistics structure
Last synced: 01 Apr 2025
https://github.com/altdeep/causalAI
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI
Last synced: 01 Feb 2026
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: 15 Mar 2025
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: 14 May 2025
https://github.com/maks-sh/scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
causal-inference causality individual-treatment-effects machine-learning net-lift true-lift uplift uplift-modeling uplift-modelling
Last synced: 06 May 2025
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
Last synced: 26 Apr 2025
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: 27 Mar 2025
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: 29 Mar 2025
https://github.com/cdt15/lingam
Python package for causal discovery based on LiNGAM.
causal-discovery causal-inference causal-models causality causality-analysis lingam machine-learning python
Last synced: 14 Dec 2025
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: 08 May 2025
https://github.com/datacanvasio/ylearn
YLearn, a pun of "learn why", is a python package for causal inference
causal-discovery causal-inference causal-models causality causality-algorithms causality-analysis policy-learning uplift uplift-modeling
Last synced: 16 May 2025
https://github.com/DataCanvasIO/YLearn
YLearn, a pun of "learn why", is a python package for causal inference
causal-discovery causal-inference causal-models causality causality-algorithms causality-analysis policy-learning uplift uplift-modeling
Last synced: 17 Aug 2025
https://github.com/wmayner/pyphi
A toolbox for integrated information theory.
causality causation information integrated-information modeling neuroscience
Last synced: 01 May 2025
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: 24 Mar 2025
https://github.com/salesforce/causalai
Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
Last synced: 07 Apr 2025
https://github.com/msuzen/looper
A resource list for causality in statistics, data science and physics
bayesian-inference causal causal-discovery causal-impact causal-inference causal-machine-learning causal-models causal-networks causality causality-algorithms causality-analysis causation data-science machine-learning meta-learning physics statistical-inference statistical-mechanics statistical-physics statistics
Last synced: 25 Dec 2025
https://github.com/deepcausality-rs/deep_causality
Dynamic Causality
causality causality-algorithms causality-analysis causality-test rust rust-lang
Last synced: 08 Jun 2026
https://github.com/rr-learning/CausalWorld
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
causality generalization reinforcement-learning robotics sim2real transfer-learning
Last synced: 17 Sep 2025
https://github.com/declare-lab/reccon
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
bert-model causal-inference causal-models causal-spans causality conversations dataset dialogue-generation dialogue-systems emotion emotion-cause emotion-cause-pair-extraction emotion-recognition emotion-recognition-in-conversation emotion-tasks inference natural-language-inference reasoning roberta
Last synced: 23 Jul 2025
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: 20 Aug 2025
https://github.com/OscarEngelbrektson/SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
causal-inference causal-models causality causality-analysis counterfactual econometrics package policy-evaluation program-evaluation python synthetic-control
Last synced: 06 May 2025
https://github.com/majianthu/pycopent
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
causal-discovery causality change-detection change-point-detection changepoint conditional-independence-test conditional-mutual-information copula copula-entropy correlation entropy granger-causality hypothesis-testing information-theory mutual-information normality-test python transfer-entropy two-sample-test variable-selection
Last synced: 11 Jun 2025
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: 15 Mar 2025
https://github.com/py-why/dodiscover
[Experimental] Global causal discovery algorithms
causal-inference causality graphs python structure-learning
Last synced: 13 Apr 2025
https://github.com/maxwshen/iap-cidl
Causal Inference & Deep Learning, MIT IAP 2018
causal-models causality inference notes
Last synced: 13 Jul 2025
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: 30 Apr 2025
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: 17 Sep 2025
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: 13 Apr 2025
https://github.com/felixleopoldo/benchpress
Scalable open-source software to run, develop, and benchmark causal discovery algorithms
bayesian-networks benchmarking causal-discovery causal-models causality graphical-models markov-networks reproducible-research snakemake-workflow structure-learning
Last synced: 04 Oct 2025
https://github.com/suwonglab/causalegm
A General Causal Inference Framework by Encoding Generative Modeling
causal-inference causal-machine-learning causality deep-generative-model generative-model treatment-effects
Last synced: 22 Oct 2025
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 Apr 2025
https://github.com/andrewtavis/causeinfer
Machine learning based causal inference/uplift in Python
ab-testing causal-inference causality data-analysis data-science data-visualization dataset econometrics machine-learning open-source python python3 statistics treatment-effects uplift uplift-modeling
Last synced: 11 Sep 2025
https://github.com/asjadnaqvi/climate-econ
A repository for tracking developments in the climate/environmental/ecological economics literature
causality climate ecological economics environment literature
Last synced: 03 Jan 2026
https://github.com/Open-All-Scale-Causal-Engine/OpenASCE
OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, causal effect estimation and attribution algorithms all in one package.
causal-inference causality machine-learning treatment-effects
Last synced: 17 Sep 2025
https://github.com/phlippe/ENCO
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
causal-discovery causality pytorch structure-learning
Last synced: 17 Sep 2025
https://github.com/ericmjl/causality
In which I play with the ideas surrounding causality
bayesian causal-inference causality
Last synced: 13 Apr 2025
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: 17 Mar 2026
https://github.com/Piyushi-0/ACE
Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.
attribution-methods causality deep-learning icml machine-learning neural-network
Last synced: 17 Sep 2025
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: 06 Apr 2025
https://github.com/aryamanarora/causalgym
CausalGym: Benchmarking causal interpretability methods on linguistic tasks
benchmark causality interpretability mechanistic-interpretability syntaxgym
Last synced: 12 Apr 2025
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: 21 Apr 2025
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: 07 Oct 2025
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: 20 Aug 2025
https://github.com/koriavinash1/bioexp
Explainability of Deep Learning Models
ablation activation-maximization causal-inference causality clustering concept-extraction dissection explainability explainable-ai gradcam interpretability interpretable-ai intervention joint-analysis rct uncertainty
Last synced: 01 May 2025
https://github.com/huckiyang/Obs-Causal-Q-Network
AAAI 22 - Training a Resilient Q-Network against Observational Interference, Causal Inference Q-Networks
causal-inference causality colab deep-reinforcement-learning pytorch reinforcement-learning treatment-effect-estimation
Last synced: 17 Sep 2025
https://github.com/toybox-rs/Toybox
The Machine Learning Toybox for testing the behavior of autonomous agents.
atari causality explainable-ai explanation reinforcement-learning xai
Last synced: 17 Sep 2025
https://github.com/richardkwo/invariantcausal.jl
Causal Inference with Invariant Prediction
causal-inference causality graphical-models intervention julia sem structural-equation-modeling
Last synced: 21 Oct 2025
https://github.com/huckiyang/obs-causal-q-network
AAAI 22 - Training a Resilient Q-Network against Observational Interference, Causal Inference Q-Networks
causal-inference causality colab deep-reinforcement-learning pytorch reinforcement-learning treatment-effect-estimation
Last synced: 08 Nov 2025
https://github.com/larslorch/stadion
Causal Modeling with Stationary Diffusions, AISTATS 2024
causal-inference causality dynamical-systems kernel-methods sde
Last synced: 10 Mar 2026
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: 13 Aug 2025
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: 01 May 2025
https://github.com/rpatrik96/nl-causal-representations
This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (particularly, with Nonlinear ICA) can be used to extract the causal graph from an underlying structural equation model (SEM).
causal-discovery causal-discovery-methods causal-inference causality deep-learning deep-neural-networks deeplearning ica independent-component-analysis machine-learning structural-causal-model
Last synced: 03 Jul 2025
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: 05 Aug 2025
https://github.com/idsia/credici
Credici: Credal Inference for Causal Inference
causal-inference causal-models causality credal imprecise-probability probabilistic-graphical-models
Last synced: 09 Sep 2025
https://github.com/newsreader/eso-and-ceo
Events and Situations Ontology
calamities causality event framenet ontology owl-ontology sumo
Last synced: 09 Apr 2026
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: 14 Mar 2025
https://github.com/cbg-ethz/dce
Finding the causality in biological pathways
Last synced: 28 Apr 2025
https://github.com/microsoft/ML4C
[SDM'23] ML4C: Seeing Causality Through Latent Vicinity
causal causal-discovery causality causality-algorithms discrete graph structure-learning supervised-causal-learning supervised-learning
Last synced: 17 Sep 2025
https://github.com/servicenow/typed-dag
Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.
causal-discovery causal-inference causality
Last synced: 09 Oct 2025
https://github.com/tigerneil/reinforcementlearning.today
Made for a reading group at the Center for Safe AGI.
causality deepmind google-brain huawei multi-agent openai reinforcement-learning
Last synced: 18 Apr 2025
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: 05 May 2025
https://github.com/santikka/dosearch
dosearch: R Package for Identifying General Causal Queries
c-plus-plus causal-inference causal-models causality causality-algorithms directed-acyclic-graph graphs labeled-graphs r
Last synced: 01 Apr 2025
https://github.com/networks-learning/counterfactual-continuous-mdp
Code for "Finding Counterfactually Optimal Action Sequences in Continuous State Spaces", NeurIPS 2023.
causality counterfactuals decision-making decision-making-under-uncertainty explainable-ai explainable-ml machine-learning markov-decision-processes
Last synced: 23 Apr 2025
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: 27 Aug 2025
https://github.com/melodyyhuang/senseweight
Tools for sensitivity analysis for weighted estimators
Last synced: 22 Oct 2025
https://github.com/mwien/cliquepicking
Algorithms for efficient counting of the size of a Markov equivalence class
Last synced: 22 Jun 2025
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: 02 Feb 2026
https://github.com/daizedong/introduction-to-causal-inference
Notes and slides on Brady Neal's online Causal Inference course in English. 因果推理入门课程(by Brady Neal)的英文笔记，分享以供交流，已完结。
causal-inference causality course notes
Last synced: 11 Feb 2026
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: 08 Oct 2025
https://github.com/stscl/infocausality
Information-Theoretic Measure of Causality
causal-discovery causality entropy-measures information-flow temporal-causality time-series-analysis
Last synced: 01 Apr 2026
https://github.com/kougioulis/cs-583
Markov Equivalence on Maximal Ancestral Graphs: A Comparative Evaluation
causality graph-algorithms maximal-ancestral-graphs
Last synced: 19 Jan 2026
https://github.com/werkaaa/iscm
Standardizing Structural Causal Models, ICLR 2025
benchmarking causal-discovery causality scm structure-learning
Last synced: 06 Mar 2026
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: 02 Mar 2025
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: 15 Mar 2026
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: 23 Jul 2025
https://github.com/veminovici/euklid
A rust library for distributed causality, dot, version-vector, dotted-version-vector, CDR types: g-counter
causality clock crdt distr dotted-vector-clocks dotted-version-vector gcounter replicas
Last synced: 22 Jan 2026
https://github.com/alphanome-ai/gnn-causality-research
Exploring Causal Inferences in Finance with Graph Neural Networks
ai ai-for-finance artificial-intelligence causal-inference causality data-mining financial-analysis fintech gnn graph-neural-network graph-neural-networks machine-learning natural-language-processing nlp nlp-machine-learning open-source predictive-modeling sec-filings sec-parser semantic-analysis
Last synced: 17 Sep 2025
https://github.com/crowdhailer/eyg
Explicit concurrency for intelligible parallel programing.
actors causality consistency dependent-types functional-programming immutability language
Last synced: 03 Feb 2026
https://github.com/hooozen/pattern_causality
论文 "Unveiling causal interactions in complex systems" 中 Pattern Casuality 算法的 Python 实现
Last synced: 02 Feb 2026
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: 04 Jan 2026
https://github.com/psychbruce/dpi
🛸 The Directed Prediction Index (DPI): Quantifying Relative Endogeneity of Outcome Versus Predictor Variables.
causal-inference causality causality-analysis directed-acyclic-graph influence linear-models linear-regression prediction simulation statistics
Last synced: 22 Oct 2025
https://github.com/jaabmar/confounder-lower-bound
Implementation for the paper "Hidden yet quantifiable: A lower bound for confounding strength using randomized trials"
causal-inference causality epidemiology healthcare hidden-confounding observational-study postmarketing randomized-trial sensitivity-analysis
Last synced: 15 Mar 2026
https://github.com/kougioulis/cs-673-project
Deep End-to-end Causal Inference for Time-series - Project for CS-673 (Intro to Deep Generative Models)
causal-discovery causality generative-models
Last synced: 02 Sep 2025
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: 13 Apr 2025
https://github.com/borealisai/raps
Code for the paper "Causal Bandits without Graph Learning"
Last synced: 12 Apr 2025
