osteoarchaeology

Here are 3 public repositories matching this topic...

cconsta1 / SexEst

SexEst is an open-source Streamlit web application for predicting biological sex from skeletal measurements using machine learning (XGBoost, LightGBM, Linear Discriminant Analysis). The best-performing models achieved cross-validated accuracies of ~80–90% on the Goldman (postcranial) and Howells (cranial) datasets.

python docker dockerfile machine-learning reproducible-research open-science xgboost lightgbm datasets lda archaeological-science forensic-anthropology streamlit streamlit-webapp osteoarchaeology

Updated Jul 19, 2026
Python

cconsta1 / dion-bone-classification

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Population-specific sex estimation from postcranial metrics (ancient Dion, Greece): Colab notebook + exported Logistic Regression formulas and ML models (XGBoost/LightGBM/RF), with imputation and cross-validation comparisons

python machine-learning scikit-learn xgboost imputation lightgbm missing-data archaeology forensic-anthropology bioarchaeology osteoarchaeology

Updated Dec 23, 2025
Jupyter Notebook

cconsta1 / age-estimation-notebook

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AgeEst notebook: reproducible analysis used to build the AgeEst models (DOI: 10.1016/j.fsir.2023.100317). Full dataset not included; contact authors for access.

machine-learning jupyter-notebook cross-validation regression colab classification forensic-anthropology osteoarchaeology

Updated Dec 23, 2025
Jupyter Notebook

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