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

Predicting length of stay in hospitals intensive care unit using MIMIC IV

A repository for the research article titled "DBNex: Deep Belief Network and Explainable AI based Financial Fraud Detection".

This is the repository to generate synthetic tabular data when the tabular data has imbalance in some feature.

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.

A refactor and extension of the PATECTGAN model with an evaluation suite based on OpenDP

Worked on detecting illicit transactions in the Ethereum Transactions dataset by increasing our dataset size, and with little tolerance to missing fraudulent transactions.

The following repository contains the online appendix for the paper "Generative AI for Banks: Benchmarks and Algorithms for Synthetic Financial Transaction Data". It not only provides the python code for all experiments conducted but also background information for the literature review.

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

[Dacon/KIST] 상추의 생육 환경 생성 AI 경진대회 2nd

M.T.D. is a project that tackles the growing risks faced by industries worldwide due to cyber threats. Our project employs a comprehensive approach to address various cyber-attacks, focusing on intrusion and malware threats by utilizing Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (A.I.).

This tool for generating synthetic tabular data (.csv file)

Model to predict the US per capita income threshold through data analysis generated with CTGAN+XGBoost

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

This project detects failure of machine. It also detects the type of failure and gives instructions to machine operator in simple language using report.

Mini Project about synthetic data generation by implementing CTGAN algorithm on tabular data

SynthAI-PD: Explainable Gait-Based Model for Prodromal Parkinsonism Detection Using Wearable Sensors

🚀 Synthetic Data Generation for Dielectric Characterization using Machine Learning | TVAE & CTGAN for Data Augmentation in Sensor Applications