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https://github.com/synthesized-io/synthesized-notebooks

Discover the art of enhancing your data using generative modelling in these notebooks.
https://github.com/synthesized-io/synthesized-notebooks

data-privacy data-science generative-modelling notebooks synthetic-data

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Discover the art of enhancing your data using generative modelling in these notebooks.

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# Synthesized Notebooks
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/synthesized-io/synthesized-notebooks/blob/master/synthesized-sdk.ipynb)
[![Docs](https://img.shields.io/badge/docs-v1.4-blue)](https://docs.synthesized.io/v1.4/)
[![Chat on Slack](https://img.shields.io/badge/chat-on%20Slack-yellow)](https://join.slack.com/t/synthesizeddataops/shared_invite/zt-st66tojm-Ghfqxd2CrAfe1MEaI8AyDg)

This repository contains a variety of notebooks to show-case the Synthesized SDK capabilities.

### Creating a General-Purpose Generative Model for Structured Data

Apply the Synthesized SDK to automatically create a generative model for any datasets to bootstrap data where the density of data is low, automatically reshape data as you like, and even anonymise data for repurposing.

https://colab.research.google.com/github/synthesized-io/synthesized-notebooks/blob/master/synthesized-sdk.ipynb