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Delta is a machine learning framework written in Rust, designed to provide efficient and scalable tools for building and training neural networks. The framework aims to offer a comprehensive set of features, including various neural network layers, activation functions, loss functions, optimizers, and data handling utilities. It is designed to have easy-to-use APIs while allowing advanced usage to customize and extend functionality.