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| title: Tabular AutoML | |
| emoji: ⚡ | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: "6.9.0" | |
| python_version: "3.10" | |
| app_file: app.py | |
| pinned: false | |
| # Tabular AutoML Framework | |
| Upload any CSV, select target column, and automatically train classical ML + PyTorch neural network models. | |
| ## Features | |
| - Auto dataset analysis | |
| - Preprocessing pipeline | |
| - Feature engineering | |
| - Classical models: RandomForest, GradientBoosting, XGBoost, LightGBM | |
| - Neural models: FeedforwardNN, ResidualMLP | |
| - Bayesian HPO with Optuna | |
| - SHAP feature importance | |
| - Model leaderboard |