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cometyang

Discovered public repositories for cometyang in the GitHub catalog.

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cometyang/SwipeView

SwipeView is a class designed to simplify the implementation of horizontal, paged scrolling views on iOS. It is based on a UIScrollView, but adds convenient functionality such as a UITableView-style dataSource/delegate interface for loading views dynamically, and efficient view loading, unloading and recycling.

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cometyang/SWTableViewCell

An easy-to-use UITableViewCell subclass that implements a swippable content view which exposes utility buttons (similar to iOS 7 Mail Application)

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cometyang/nnForge

Convolutional and fully-connected neural networks C++ library. It features CPU and GPU (CUDA) backends

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cometyang/nolearn

scikit-learn compatible wrappers for neural net libraries, and other utilities.

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cometyang/GSN

Efficient implementation of Generative Stochastic Networks

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cometyang/kaggle-seeclickfix-ensemble

Prize winning solution to the SeeClickFix contest hosted on Kaggle, developed by teammates Bryan Gregory and Miroslaw Horbal. The purpose of the contest was to train a model (as scored by RMSLE) using supervised learning that will accurately predict the views, votes, and comments that an issue posted to the www.seeclickfix.com website will receive. My teammate and I used this ensemble code base to combine our top ranked individual models to create a prize-winning solution, defeating >500 other teams and winning a prize of $1,000.

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cometyang/kaggle-seeclickfix-model

Prize-winning solution for Kaggle contest "SeeClickPredictFix". The purpose of the contest was to train a model (as scored by RMSLE) using supervised learning that will accurately predict the views, votes, and comments that an issue posted to the www.seeclickfix.com website will receive. This code developed by me uses a segment based ensemble to generate predictions for the 3 targets (views, votes, and comments). My teammate and I used this model in combination with his to create a winning model for the contest, defeating >500 other teams and winning a purse of $1,0000.

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