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README.md

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 This repository features material related to content that spreads across multiple folders. For the time being, it is related to my new book <em>Synthetic Data and Generative AI</em>, 
 available <a href="https://mltechniques.com/shop/">here</a>, and published by Elsevier.
-<p>It also includes the NoGAN code, a tabular data synthesizer running 1000x faster than GenAI methods based on neural networks, and consistently delivering better results 
-regardless of the evaluation metric (including state-of-the-art new quality metrics capturing a lot more than traditional distances), both on categorical and numerical features, or a mix of both. For details, see technical paper #29, available <a href="https://mltechniques.com/resources/">here</a>. </p>
+<p>It also includes: 
+<ul>  
+<li>NoGAN code, a tabular data synthesizer running 1000x faster than GenAI methods based on neural networks, and consistently delivering better results 
+regardless of the evaluation metric (including state-of-the-art new quality metrics capturing a lot more than traditional distances), both on categorical and numerical features, or a mix of both. For details, see technical paper #29, available <a href="https://mltechniques.com/resources/">here</a>. 
+
+<li>DeepResampling code, another fast NoGAN based on resampling and distribution-free Hierarchical Bayesian Models, with hyperparameter auto-tuning.
+For details, see technical paper #31, available <a href="https://mltechniques.com/resources/">here</a>. 
+<ul>