cometyang/WechatPlaneSwift
微信打飞机 Swift 实现
Discovered public repositories for cometyang in the GitHub catalog.
微信打飞机 Swift 实现
Hacker News reader iOS app using Swift
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.
An easy-to-use UITableViewCell subclass that implements a swippable content view which exposes utility buttons (similar to iOS 7 Mail Application)
NEVADA The ARM-NEON Visualization Tool
Convolutional and fully-connected neural networks C++ library. It features CPU and GPU (CUDA) backends
Caffe
scikit-learn compatible wrappers for neural net libraries, and other utilities.
MBProgressHUD + Customizations
UIKit and NSFoundation convenience categories and subclasses.
OpenGL Mathematics (GLM)
John Langford's original release of Vowpal Wabbit -- a fast online learning algorithm
Introduction to Parallel Programming class code
Interactive 3D Graphics class code
Efficient implementation of Generative Stochastic Networks
Deep learning made easy
Sparse Filtering
See Click Predict Fix challenge (Kaggle.com)
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.
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.
Linear model for 2nd place submission of Kaggle's See Click Predict Fix competition
Code samples for my book "Neural Networks and Deep Learning"
Central pixel benchmark code for Kaggle's Galaxy Zoo competition.
Contains the code for the model that won Kaggle's Air Quality Prediction Hackathon
Benchmark and sample code for the Author Paper Identification Challenge on Kaggle, a part of the 2013 KDD Cup
Benchmarks for Kaggle's Predict Closed Questions on Stack Overflow competition
Code to create benchmarks for Kaggle's Facebook Recruiting Competition
OpenImageIO
computer vision application
Public repository.