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causal-ml

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SyedTahaAbbas / causal-ml-for-electricity-access

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"Causal Machine Learning for Cost-Effective Allocation of Electricity Aid" thesis for my Masters in Management and Digital Technologies at Ludwig-Maximillian Univeristy, Munich.

risk-assessment causal-inference resource-allocation decision-science machine-learning-models cost-optimization development-economics public-finance electricity-access causal-machine-learning treatment-effect-estimation budget-allocation causal-ml fund-allocation infrastructure-finance
  • Updated Jan 26, 2026
  • Python

govind104 / causal-uplift-engine

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Causal Inference Engine using T-Learners (XGBoost) to optimize marketing ROI. Features: 3.2x Lift over random targeting, Behavior-Based Segmentation (Persuadables vs. Sleeping Dogs), and fully dockerized FastAPI/Streamlit architecture.

python docker machine-learning econometrics xgboost causal-inference uplift-modeling marketing-analytics policy-optimisation fastapi streamlit t-learner causal-ml behavioural-segmentation roi-optimisation
  • Updated Jan 22, 2026
  • Python

0DevDutt0 / deep-learning-model-scaling-analysis

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Causal analysis framework using Double Machine Learning to quantitatively isolate the effect of model size on deep learning performance while controlling for confounders such as dataset size, training time, and hyperparameters.

docker deep-learning pytorch neural-networks causal-inference python-package cli-tool ml-engineering model-performance double-machine-learning model-benchmarking scaling-laws econml ml-research causal-ml
  • Updated Feb 14, 2026
  • Python

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