[TNNLS-2024, arXiv-2023.2.10] Official repository of "A Survey on Causal Reinforcement Learning"
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Dec 8, 2025
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casual-inference
Here are 21 public repositories matching this topic...
Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart:
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Jun 9, 2022 - HTML
Implementation of paper DESCN, which is accepted in SIGKDD 2022.
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Dec 27, 2023 - Jupyter Notebook
Just to keep track of nice blog posts and new announcements related to machine learning, deep learning and artificial intelligence
machine-learning deep-learning neural-network machine-learning-algorithms deep-reinforcement-learning artificial-intelligence dataset deep-learning-algorithms artificial-intelligence-algorithms casual-inference
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Feb 3, 2019
Clinical-AI Research Framework
machine-learning clinical-research interdisciplinary casual-inference cohort-studies shap case-control-studies
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Jun 17, 2022 - Jupyter Notebook
Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling
inference gibbs-sampling-algorithm casual-inference bayesian-belief-networks approximate-inference-algorithm probability-propagation
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Jul 15, 2020 - Jupyter Notebook
Important link of cancer epidemiology and cancer prevention.
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Jul 4, 2022 - Jupyter Notebook
🧠 Implement a bi-factual contrastive explanation system for AI decisions, enhancing understanding through formal definitions and optimized algorithms.
causal-models explainable-ai xai casual-inference counterfactual-explanations contrastive-explanations causal-graphs causal-graphical-models causal-graph counterfactual-contrastive-learning
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Feb 9, 2026 - Jupyter Notebook
The Impact of Uber on Taxi Rides: A Causal Inference Study
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Aug 19, 2024 - Python
pip install gptmed
nlp redis deep-learning pytorch pip deep-learning-algorithms gpt language-model custom-model casual-inference conversation-ai transformer-architecture llm medical-llm tiny-llm question-answering-model model-training-and-optimization medical-question-answering-llm tiny-language-model
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Feb 8, 2026 - Python
401k_verification, the C program simulates and analyses a 401K dataset, implementing the B-Learner method to estimate bounds for the Conditional Average Treatment Effect (CATE).
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Aug 12, 2024 - C
Causal inference can be defined as the process by which causes are inferred from the data. In this project, data from breast cancer diagnosis is analyzed and causes inferred from this analysis.
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Aug 29, 2021 - Jupyter Notebook
An explainable data science system that detects demand anomalies and attributes their root causes using time-series analysis and machine learning.
data-science machine-learning-algorithms supply-chain demand-forecasting time-series-analysis anomaly-detection explainable-ai casual-inference root-cause-analysis
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Jan 9, 2026 - Jupyter Notebook
Implémentation d’un système d’IA Explicable (XAI) basé sur les explications contrastives bi-factuelles, avec optimisations algorithmiques et interface graphique CausaLytics.
causal-models explainable-ai xai casual-inference counterfactual-explanations contrastive-explanations causal-graphs causal-graphical-models causal-graph counterfactual-contrastive-learning
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Aug 30, 2025 - Jupyter Notebook
Explores the relationship between population demographics, various crime rates, and shall carry gun laws across different regions of the United States between 1977-1999 using a propensity weighted mixed linear effects model.
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May 31, 2022 - CSS
U.S. Mental Health Demand–Supply Gap Monitor (Google Trends + HRSA data) with interpretable ML (XGBoost/SHAP)
python data-science time-series data-visualization xgboost forecasting feature-engineering publichealth google-trends xgboost-regression casual-inference shap
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Feb 1, 2026 - Python
Difference-in-Differences analysis of bus-lane policies and ridership trends in Israel.
python public-transportation data-engineering casual-inference diff-in-diff transportation-analytics
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Oct 24, 2025 - Python
Marketing strategies on the sales volume and average retail price (ARP) of Good Belly products. Using a dataset encompassing sales, promotions, and demographic information across multiple regions, this project employs causal analysis and multiple linear regression to provide insights into the effectiveness of marketing activities.
exploratory-data-analysis statistical-analysis logistic-regression descriptive-statistics rprogramming metric-analysis casual-inference managerial-economics model-evaluation-and-tuning
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Mar 13, 2024
Telco Customer Churn is an end-to-end data science project that models customer churn and evaluates decisions using cost-aware metrics, uplift analysis, and business-driven profit optimization.
python customer-retention scikit-learn machine-learning-algorithms pandas classification model-evaluation decision-science business-analytics uplift-modeling cost-sensitive-learning casual-inference customer-churn profit-optimization telecom-analytics decision-aware-ml
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Jan 11, 2026 - Python
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