Synthetic Data TutorialsΒΆ
Explore synthetic data tutorials with the option to run them either in Google Colab or open them in VS Code.
Description | Colab Link | Notebook Link |
---|---|---|
Getting Started with the SDK | View Notebook | |
Validate synthetic data via Train-Synthetic-Test-Real | View Notebook | |
Explore the size vs. accuracy trade-off for synthetic data | View Notebook | |
Differentially Private Synthetic Data | View Notebook | |
Rebalance synthetic datasets for data augmentation | View Notebook | |
Conditionally generate synthetic (geo) data | View Notebook | |
Explain AI with synthetic data | View Notebook | |
Generate fair synthetic data | View Notebook | |
Generate synthetic text via a fast LSTM model trained from scratch | View Notebook | |
Generate synthetic text via a pre-trained Large Language Model | View Notebook | |
Perform multi-table synthesis | View Notebook | |
Analyse star-schema correlations | View Notebook | |
Develop a fake or real discriminator with Synthetic Data | View Notebook | |
Close gaps in your data with Smart Imputation | View Notebook | |
Calculate accuracy and privacy metrics for Quality Assurance | View Notebook |