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Autocurator-Synthetic-Data-Benchmark. Autocurator is a comprehensive benchmarking toolkit for evaluating synthetic tabular data. It measures fidelity, coverage, privacy, and utility through quantitative metrics, visual reports, and PCA/correlation diagnostics. Ideal for validating VAE, GAN, Copula, or Diffusion-generated datasets.

github.com/AmirhosseinHonardoust/Autocurator-Synthetic-Data-Benchmark

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