sdv-dev/SDV
A Python library that uses machine learning algorithms including deep learning and GANs to learn patterns from real tabular data and generate synthetic datasets.
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The Synthetic Data Vault (SDV) is a Python library for creating tabular synthetic data using machine learning. It uses various ML algorithms including deep learning and generative adversarial networks (GANs) to learn patterns from real datasets and emulate them in synthetic data. The library supports single tables, multi-table relational datasets, and time-series data.
Frequently asked
- What is sdv-dev/SDV?
- A Python library that uses machine learning algorithms including deep learning and GANs to learn patterns from real tabular data and generate synthetic datasets.
- Is SDV open source?
- Yes — sdv-dev/SDV is an open-source project tracked on heatdrop.
- What language is SDV written in?
- sdv-dev/SDV is primarily written in Python.
- How popular is SDV?
- sdv-dev/SDV has 3.5k stars on GitHub.
- Where can I find SDV?
- sdv-dev/SDV is on GitHub at https://github.com/sdv-dev/SDV.