--- title: Synthetic Data Generation with Generative Models in Python description: A technical walkthrough of synthetic tabular data generation using CTGANs (Conditional Tabular Generative Adversarial Networks) and TVAEs (Tabular Variational... canonical: https://daily.dev/posts/synthetic-data-generation-with-generative-models-in-python-srs50ofec twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Synthetic Data Generation with Generative Models in Python | daily.dev og:description: A technical walkthrough of synthetic tabular data generation using CTGANs (Conditional Tabular Generative Adversarial Networks) and TVAEs (Tabular Variational... og:url: https://daily.dev/posts/synthetic-data-generation-with-generative-models-in-python-srs50ofec og:image: https://api.daily.dev/og/posts/SrS50oFEc.png og:image:alt: Synthetic Data Generation with Generative Models in Python og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Synthetic Data Generation with Generative Models in Python **[NeuralNine](https://daily.dev/sources/neuralnine)** · 35 min read · 0 upvotes · 0 comments ## Summary A technical walkthrough of synthetic tabular data generation using CTGANs (Conditional Tabular Generative Adversarial Networks) and TVAEs (Tabular Variational Autoencoders) in Python. Covers the theory behind both architectures, when to choose one over the other, and practical code examples using the SDV (Synthetic Data Vault) library. Use cases demonstrated include augmenting training data, balancing imbalanced classes, generating rare-case training samples, and edge case testing. The tutorial uses scikit-learn datasets (breast cancer, California housing) and compares model performance trained on real, synthetic, and combined data. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [How synthetic data can help solve AI’s data crisis](https://daily.dev/posts/how-synthetic-data-can-help-solve-ai-s-data-crisis-jqu9wloom) · Security Boulevard · 1 upvotes · 0 comments --- Tags: [#python](https://daily.dev/tags/python) [View this post on daily.dev](https://daily.dev/posts/synthetic-data-generation-with-generative-models-in-python-srs50ofec) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Synthetic Data Generation with Generative Models in Python","url":"https://daily.dev/posts/synthetic-data-generation-with-generative-models-in-python-srs50ofec","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/synthetic-data-generation-with-generative-models-in-python-srs50ofec"},"datePublished":"2026-07-10T23:37:21.659Z","dateModified":"2026-07-10T23:37:40.134Z","description":"A technical walkthrough of synthetic tabular data generation using CTGANs (Conditional Tabular Generative Adversarial Networks) and TVAEs (Tabular Variational...","image":"https://i.ytimg.com/vi/GigGd_rIDj8/sddefault.jpg","thumbnailUrl":"https://i.ytimg.com/vi/GigGd_rIDj8/sddefault.jpg","isAccessibleForFree":true,"articleSection":"NeuralNine","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"NeuralNine","logo":"https://media.daily.dev/image/upload/s--bMYO07OB--/f_auto,q_auto/v1777800757/logos/neuralnine?_a=BAMAMiWQ0","url":"https://daily.dev/sources/neuralnine"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/synthetic-data-generation-with-generative-models-in-python-srs50ofec","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"python","timeRequired":"PT35M","video":{"@type":"VideoObject","name":"Synthetic Data Generation with Generative Models in Python","description":"A technical walkthrough of synthetic tabular data generation using CTGANs (Conditional Tabular Generative Adversarial Networks) and TVAEs (Tabular Variational...","thumbnailUrl":"https://i.ytimg.com/vi/GigGd_rIDj8/sddefault.jpg","uploadDate":"2026-07-10T23:37:21.659Z","duration":"PT35M","url":"https://api.daily.dev/r/SrS50oFEc","embedUrl":"https://www.youtube.com/embed/GigGd_rIDj8"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"NeuralNine","item":"https://daily.dev/sources/neuralnine"},{"@type":"ListItem","position":3,"name":"Synthetic Data Generation with Generative Models in Python"}]} ```