https://github.com/ddihora1604/dataaichemy

This project creates a Generative AI system to produce high-quality synthetic data using minimal real data. It combines VAEs, Tabular GANs, and Copula-based methods to generate realistic and diverse datasets, helping overcome data shortages, privacy issues, and biases.
https://github.com/ddihora1604/dataaichemy

copula-models data-analysis data-visualization gans-models nextjs python statistical-analysis vae vae-gan

Last synced: 1 day ago
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This project creates a Generative AI system to produce high-quality synthetic data using minimal real data. It combines VAEs, Tabular GANs, and Copula-based methods to generate realistic and diverse datasets, helping overcome data shortages, privacy issues, and biases.

• Host: GitHub
• URL: https://github.com/ddihora1604/dataaichemy
• Owner: ddihora1604
• Created: 2025-01-24T14:24:26.000Z (6 days ago)
• Default Branch: main
• Last Pushed: 2025-01-28T13:33:00.000Z (1 day ago)
• Last Synced: 2025-01-28T14:31:30.504Z (1 day ago)
• Topics: copula-models, data-analysis, data-visualization, gans-models, nextjs, python, statistical-analysis, vae, vae-gan
• Language: TypeScript
• Homepage:
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# DataAIchemy