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Machine Learning for Skin Disease Classification
A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)
A toolkit of random natural language predictive models.
PyTorch implementation for "Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference" (https://arxiv.org/abs/1809.01357).
Project for a Machine Learning Class at Oxford. Uses CUSUM and SOM (Self Organizing Map) to predict "good stocks" based on previous NASDAQ history.
My first project from 2010/2011. Uses optical flow and computer vision to detect and classify vehicles in the blind spot to aid less-than-cautious drivers.