SynTPack

NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!

Credit Card Fraud Detection Project

The Anonymous Synthesizer for Health Data

This repository contains the code of our published work in IEEE JBHI. Our main objective was to demonstrate the feasibility of the use of synthetic data to effectively train Machine Learning algorithms, prooving that it benefits classification performance most of the times.

GAN-based Deep Learning data synthesizer - Modeling Tabular data using Conditional GAN

This repository contains the code, documentation, and datasets for a comprehensive exploration of machine learning techniques to address class imbalance. The project investigates the impact of various methods, like ADASYN, KMeansSMOTE, and Deep Learning Generator, on classification performance while effectively demonstrating benefits of pipelining.

Detecting Abnormal Markets - Early Warning Systems

Evaluating Hyperopt, Optuna, and TunedThresholdClassifierCV

Generalized Automatic Pipeline for inspecting and fixing uncertainties in your data

Repository for Slide Deck and Code Examples for talk at SDP Convening 2023