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Open Source

Introducing world's largest synthetic open-source Text-to-SQL dataset

Gretel releases largest open source Text-to-SQL dataset to accelerate AI model training
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CHANGELOG: Beta2

Here's what we learned about privacy engineering from 50+ companies and hundreds of developers.
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Veterans Day Reflections: Open source software and evacuation operations, a remarkable combination.

Quickly and safely aggregate geolocation data for location density analysis using a hexagonal grid system.
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Copyright (c) 2021 Gretel

Optuna Your Model Hyperparameters

We explore the popular open-source package Optuna to demonstrate how you can optimize your model hyperparameters and build the best synthetic model possible.
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We just streamlined Gretel’s Python SDK

Start building with synthetic data in just 3 lines of code 🚀
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Copyright (©) 2023 Gretel.

Install TensorFlow and PyTorch with CUDA, cUDNN, and GPU Support in 3 Easy Steps

Set up a cutting-edge environment for deep learning with TensorFlow 2.10, PyTorch, Docker, and GPU support.
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Copyright © 2022 Gretel.ai

Conditional Text Generation by Fine Tuning Gretel GPT

Augment machine learning datasets with synthetically generated text and labels using an open-source implementation of GPT-3.
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Copyright © 2022 Gretel.ai

Measure the Quality of any Synthetic Dataset with Gretel Evaluate

Assessing the efficacy and quality of synthetic data with Gretel Evaluate API.
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Generate synthetic data in 3 lines of code

Learn the simplest way to generate synthetic data without setting up your own infrastructure and GPUs.
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How to use Weights & Biases with Gretel.ai

How to use Weights & Biases’ ML hyperparameter sweeps tool to optimize the accuracy of your synthetic data.
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