Shypd.aiThe largest open index of AI toolsTabular-data-generation is a Data & Analytics tool that generates synthetic tabular data using various generative approaches. It provides a unified Python interface for GANs, diffusion models, and LLMs.
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Tabular-data-generation is a Python library offering a unified interface for generating synthetic tabular data. It supports multiple state-of-the-art generative approaches, including GANs (Conditional Tabular GAN), diffusion models (ForestDiffusion), and Large Language Models (GReaT framework). The tool features adversarial filtering to ensure synthetic data closely matches real data distributions, native handling of mixed data types, and conditional generation capabilities, including text generation conditioned on categorical attributes. It also supports integration with external LLM APIs like LM Studio, OpenAI, and Ollama, and provides quality validation functions to compare original and synthetic distributions. AutoSynth allows for automatic comparison and selection of the best generator, and HuggingFace integration simplifies dataset synthesis and result sharing.
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