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High-Level library for Efficient and Fast Architecture Evaluation and Comparison of Machine Learning models. It provides a unified interface for training, benchmarking, and hyperparameter optimization with features like distributed training, mixed precision, and real-time visualization.
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> **This project is still under development**
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## Features
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- **Unified Training Interface**: Train single models with easy to use configuration options.

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