Data
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Anonymize Data with S3 Object Lambda
Anonymize data at access time with Gretel and Amazon S3 Object Lambda.
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Gretel Smart-Seeding is auto-complete for your data
Smart-seeding lets you train a synthetic data model to auto-complete partial records and text.
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Why Nonprofits Should Care About Synthetic Data
How synthetic data can help nonprofits improve their business operations and their impact on the people they serve.
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What is Model Soup?
A brief exploration of model soup, the new ensembling technique that takes the average weights of multiple models to improve overall performance.
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Fast data cataloging of streaming data for fun and privacy
Learn more about how Gretel's REST APIs automatically build a metastore that makes it easy to understand what is inside of your data.
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Create high quality synthetic data in your cloud with Gretel.ai and Python
Create differentially private, synthetic versions of datasets and meet compliance requirements to keep sensitive data within your approved environment.
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Transforms and Synthetics on Relational Databases
A walkthrough of our new multi-table transform and multi-table synthetics notebooks, which can be used independently or simultaneously.
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How we accidentally discovered personal data in a popular Kaggle dataset
Learn about new features in Gretel, and how those features enabled us to discover personally identifiable information (PII) in a popular Kaggle dataset.
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A guide to load (almost) anything into a DataFrame
Pandas provides so many options of reading data into a DataFrame, here's our short guide to ones that we found most useful.
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