Riyaaz Music practice DeepETA: How Uber Predicts Arrival Times Using Deep Learning Learn how we built DeepETA to predict arrival times using deep learning YODO (Inverse Reinforcement Learning) This project aims to teach an agent to stack blocks together in a simulated 2D world using Inverse Reinforcement Learning Ask Me (Question Generating Agent) We developed an agent that could learn to ask a question provided an informative sentence based on a Sequence to Sequence Deep Neural Net architecture powered by Global Attention. Apache Spark Tuning Notes Notes on Apache Spark - A quick reference to all things spark Hidden Markov Models Hidden Markov Model is an excellent tool in the analysis of noisy unlabelled data sequences Paper Summary: Very Deep Convolutional Networks for Text Classification Paper Summary of Very Deep Convolutional Networks for Text Classification - Lecun et al Scene Classification Scene Classification with VGG-like Deep Neural Networks Surface Reconstruction from Point Cloud Data Water Tight Surface Reconstruction of 3D Point Cloud Data using the Ball Pivoting Algorithm Face Detection Face Detection based on Dalal & Triggs' method of Histogram of Gradient descriptors for Pedestrian Detection Automatic image processing using Expectation Maximization with Gaussian Mixture Models We train a mixture of Gaussians to represent an image, and perform automatic image segmentation using Gaussian Mixture Models Scene Recognition Scene Recognition pipeline based on Bag of Words as a feature descriptor. We experiment with multiple features and models for the classification task Raytracer OpenGL/C++ based Raytracer program Guide to Forking Pixyll This website was made possible by the great work of John Otander. Pixyll is available for anyone to fork under the MIT license.