probability-calibration

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)

pranaam: predict religion based on name

Classify the kind of content hosted by the domain using the domain name, and text and screenshot of the homepage.

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

Infer Sociodemographic Characteristics from Names Using Indian Electoral Rolls

Advanced Calibration Models

Chronological HKJC race modeling, probability calibration, and market-aware strategy research

Pima diabetes risk prediction pipeline with leakage-safe preprocessing, model comparison, probability calibration, validation-selected cost-aware thresholding, held-out evaluation, and reusable scoring artifacts.

Advanced sentiment analysis lab with TF-IDF word/char features, leakage-safe multi-model training, ROC/PR-AUC evaluation, calibration, cost-aware threshold tuning, error analysis, explainability, and live prediction.

Calibrated multi-sport forecasting, audited in public. Live analytics site + a claim-by-claim evidence index with the rejects and retractions included. Calibration rigor, not edge claims.

khalib is a classifier calibration algorithm based on Khiops

Systematic signal refinement framework using point-in-time data, triple-barrier labeling, calibrated ML models, and probability-aware portfolio construction.

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

Fraud risk operations platform with production-grade engineering for policy-driven scoring, review workflows, audit logging, worker-backed batch jobs, and observability.

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