Gretel Blog

Gretel Smart-Seeding is auto-complete for your data

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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Machine Learning Accuracy Using Synthetic Data

Machine Learning Accuracy Using Synthetic Data

Can synthetic data really be used in machine learning? We explore the utility of synthetic data created from popular datasets and tested on popular ML algorithms.
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CHANGELOG: Beta2

CHANGELOG: Beta2

Here's what we learned about privacy engineering from 50+ companies and hundreds of developers.
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Creating synthetic time series data

Creating synthetic time series data

A step-by-step guide to creating high quality synthetic time-series datasets with Python.
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Walkthrough: Create Synthetic Data from any DataFrame or CSV

Walkthrough: Create Synthetic Data from any DataFrame or CSV

Train an AI model to create an anonymized version of your dataset using Python, TensorFlow, and Gretel-synthetics.
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Recognizing Data Privacy Day by Protecting Your Privacy

Recognizing Data Privacy Day by Protecting Your Privacy

What if we could ensure that personal data was protected, benefiting not just the individual but also giving developers faster, worry-free access to data?
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Install TensorFlow with CUDA, cDNN, and GPU Support in 4 Easy Steps

Install TensorFlow with CUDA, cDNN, and GPU Support in 4 Easy Steps

Set up a cutting edge environment for deep learning with TensorFlow 2.4 and GPU support.
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Automate Detecting Sensitive Personally Identifiable Information (PII)

Automate Detecting Sensitive Personally Identifiable Information (PII)

Use Gretel.ai's APIs to continuously detect and protect sensitive data including credit cards, credentials, names, and addresses.
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Automatically Reducing AI Bias With Synthetic Data

Automatically Reducing AI Bias With Synthetic Data

Create a fair, balanced, privacy preserving version of the 1994 US Census dataset using gretel-synthetics.
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How To Create Differentially Private Synthetic Data

How To Create Differentially Private Synthetic Data

A practical guide to creating differentially private, synthetic data with Python and TensorFlow.
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