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The goal of this project is to design and train deep convolutional neural networks using PyTorch. I will design a deep net architecture to classify (small) images into 100 categories and evaluate the performance of the architecture by uploading the predictions to the Kaggle competition.
DigitalOrganism is an interactive, visually captivating cellular automaton simulation that explores the fascinating world of emergent patterns and complexity. This project, inspired by Multiple Neighborhood Cellular Automata.
An attempt to extract the minimap from Valorant eSports VODS, identify and isolate player markers using OpenCV, and track their position over time to either use as ML training data or crate a VOD reviewing tool.