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This is a comprehensive analysis of 5 HPO algorithms- General Algorithms (GA), Particle Swarm Optimization (PSO), (DE), PyHopper HPO, Bayesian Optimization and HyperBand Optimization (BOHB),
Julia implementation of ST-ProtoPNet for interpretable classification with support and trivial prototypes. Built on Flux.jl with custom losses, data prep tools, and 2D visualization.
A real-time image captioning and visual question answering (VQA) system. This project uses computer vision and NLP to generate descriptive captions for images and answer user questions about them.
A curated collection of key research papers and resources on LLMs and deep learning, organized by topic to provide a clear learning path from fundamentals to advanced techniques.