Synthetic data generators for tabular and time-series data

Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines

Targeted Data Generation with Large Language Models

NextBrain's data Anonymizer tool ensures top-tier privacy by irreversibly obscuring personal identifiers without storing any data. Ideal for businesses prioritizing data security and compliance, it offers a reliable solution for safeguarding sensitive information.

Documentation for Data Caterer

An OCR system trained with manually generated handwriting datasets with the purpose to classify handwritten text to digital text.

this sample, show how we can use materialized view in spring-framework

The aim of this study is to determine the machine failure by construction of classifier model on predictive maintenance dataset. The class imbalance data compromise the performance of the constructed model and this is addressed by assessing the oversampling methods with Multi-Task Learning (MTL)architecture. Also, to gauge the performance of aux…

Visual data generation for the basic English words by Ogden.

NIP Research project working NIP-RW, DIP, and Subcellular location from Uniprot.org. Work in progress.

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

RandomUserGenerator is a web application that utilizes a random user data API to generate and display detailed user profiles