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A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.
This project aims to develop an effective leaf image classification system using machine learning algorithms. It includes extensive experimentation and evaluation of different models and hyperparameter tuning to identify the best-performing model.