Fetching metadata from the HF Docker repository...
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Add BayesianGenerator (Gaussian Copula)
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Add BayesianGenerator (Gaussian Copula)
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Add BayesianGenerator (Gaussian Copula)
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Add BayesianGenerator (Gaussian Copula)
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Add BayesianGenerator (Gaussian Copula)
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Disable SSR mode to fix BodyStreamBuffer error
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Add missing scipy dependency
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Add xgboost, joblib, remove tabgan PyPI dep
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Add _ForestDiffusion/utils/__init__.py
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Add _ForestDiffusion/utils/diffusion.py
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Add _ForestDiffusion/utils/utils_diffusion.py
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Add _ForestDiffusion/__init__.py
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Add _ForestDiffusion/diffusion_with_trees_class.py
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Lighten requirements: remove tabgan PyPI, torchvision, be-great
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Make be_great and ForestDiffusion optional imports
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Add _ctgan/__init__.py
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Add _ctgan/synthesizer.py
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Add _ctgan/sampler.py
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Add _ctgan/models.py
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Add _ctgan/conditional.py
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Add _ctgan/transformer.py
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Add tabgan/abc_sampler.py
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Add tabgan/llm_config.py
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Add tabgan/auto_synth.py
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Add tabgan/hf_integration.py
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Add tabgan/__init__.py
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Add tabgan/sampler.py
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Add tabgan/quality_report.py
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Add tabgan/constraints.py
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Add tabgan/utils.py
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Add tabgan/cli.py
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Add tabgan/adversarial_model.py
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Add tabgan/privacy_metrics.py
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Add tabgan/sklearn_transformer.py
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Add tabgan/encoders.py
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Add tabgan/llm_api_client.py
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Fix: use CPU-only torch to prevent BodyStreamBuffer abort on build
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Initial deployment: TabGAN Synthetic Data Generator
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initial commit