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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.
Visual data generation for the basic English words by Ogden.
RandomUserGenerator is a web application that utilizes a random user data API to generate and display detailed user profiles
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 auxiliary learning towards the advancement of the primary task learning.
NIP Research project working NIP-RW, DIP, and Subcellular location from Uniprot.org. Work in progress.