Team-TUD/CTAB-GAN
Official git for "CTAB-GAN: Effective Table Data Synthesizing"
This tool helps data analysts and researchers create realistic synthetic versions of their sensitive or proprietary tabular datasets. You input your original table, and it generates a new table with similar statistical properties and relationships, but without containing any of the original records. This is ideal for situations where you need to share data for analysis or development without compromising privacy.
No commits in the last 6 months.
Use this if you need to generate high-quality, synthetic tabular data that preserves the characteristics of your original dataset for tasks like testing or sharing.
Not ideal if your primary goal is to anonymize specific individuals in a dataset without necessarily creating entirely new synthetic records.
Stars
95
Forks
21
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 19, 2024
Commits (30d)
0
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