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Add TabGAN - synthetic tabular data generation with GANs, Diffusion, and LLMs #3003

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JinyangWang27 merged 2 commits into from
Mar 29, 2026
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Add TabGAN - synthetic tabular data generation with GANs, Diffusion, and LLMs #3003

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Add TabGAN - synthetic tabular data generation library
Diyago Mar 28, 2026
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Remove extra empty line, place TabGAN in alphabetical order
Diyago Mar 29, 2026
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Expand Up @@ -170,6 +170,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git
- [pgmpy](https://github.com/pgmpy/pgmpy) - A Python library for probabilistic graphical models and Bayesian networks.
- [scikit-learn](https://github.com/scikit-learn/scikit-learn) - The most popular Python library for Machine Learning with extensive documentation and community support.
- [spark.ml](https://github.com/apache/spark) - [Apache Spark](https://spark.apache.org/)'s scalable [Machine Learning library](https://spark.apache.org/docs/latest/ml-guide.html) for distributed computing.
- [TabGAN](https://github.com/Diyago/Tabular-data-generation) - Synthetic tabular data generation using GANs, Diffusion Models, and LLMs.
- [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.

## Natural Language Processing
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