DeepDream Art
This project uses convolutional neural networks to analyze patterns in an image to create a dreamy effect.
This project uses convolutional neural networks to analyze patterns in an image to create a dreamy effect.
This project implements computational photography methods including, image resizing, content-aware hole-filling, and seam carving, utilizing the PatchMatch algorithm to optimize program runtimes by using random search and nearest neighbor correspondences.
This project predicts top NBA players based on n-categories of their stats using various classification, regression, and outlier ML models from the Scikit Learn module.
tempfiller