Bayesian probability transforms for BM25 retrieval scores

Random stuff I've been working on

Local Temperature Scaling for Probability Calibration

UQ4DD: Uncertainty Quantification for Drug Discovery

Non-Parametric Calibration for Classification (AISTATS 2020)

This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.

Decision-first fraud screening: Streamlit analytics UI + FastAPI inference, artifact-locked RF/XGB models, and threshold policy controls.

khalib is a classifier calibration algorithm based on Khiops

Cost-aware credit card fraud detection pipeline: time-based split, probability calibration, and business-aligned threshold tuning (AUPRC-first).

A simple yet effective post-processing method for detecting unknown intent in dialogue systems based on pre-trained deep neural network classifiers

My Master's thesis on Bayesian Classification with Regularized Gaussian Models

Decision-grade donor outreach policy: calibrated P(donated_next_6m) scoring + budgeted Top-K actions + net-benefit optimal threshold, with exported deployable artifacts.

Bayesian probability transforms for BM25 retrieval scores (TypeScript)

Code for the internship report. Sample × Category Probability Calibration in Two Dimensions.

Interpretable credit risk modeling using real-world lending data, with emphasis on probability calibration, decision relevance, and scalable machine learning workflows.

🧠COGNITIVA-AI: IA intermodal (clínica+MRI) para cribado temprano de Alzheimer; probabilidades calibradas, umbrales por cohorte (S2) y release reproducible.

Machine learning–based cardiovascular risk screening app focused on high recall

End-to-end credit risk modeling pipeline with probability calibration, risk bucketing, and SHAP explainability.