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

PulseBat dataset for retired battery reuse and recycling decision making. We open-source the collected PulseBat dataset for pulse voltage response generation of the retired batteries across random retirement conditions, i.e., state of charge (SOC) conditions, facilitating downstream SOH estimation tasks.

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.

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.

Codebase for extracting banks and ATMs from OSM

Detecting fraudulent transactions on the synthetic dataset with machine learning

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