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Large-scale datasets and benchmarks for training, evaluating, and testing models to measure

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Intelligent Document Recognition

Comprehensive Text Extraction and Document Processing Solutions for Users

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ML-Simplified-AutoML-Reinvented

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This project explores how AutoML simplifies machine learning workflows by automating model selection, hyperparameter tuning, and evaluation, comparing tools like TPOT, H2O, and AutoKeras, and culminating in a custom-built AutoML system from scratch.

Creat2024-11-24T19:39:51
Update2024-12-13T21:32:50
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