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gps-distance

calculate distance between 2 GPS points

graph

An elegant data-driven framework in Swift.

growthpush-ios

GrowthPush SDK for iPhone/iPad

guitabpagerviewcontroller

gw_crashcat

根据xcarchive原始文件和crash崩溃日志文件，定位代码问题出现点。自动获取和读取dsym文件。使用xcrun atos命令，对arm64，armv7内存位置进行解析

hackermath

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

hacking-with-swift

This repository is learning HackingWithSwift Demos.

hackmyresume

Generate polished résumés and CVs in HTML, Markdown, LaTeX, MS Word, PDF, plain text, JSON, XML, YAML, smoke signal, and carrier pigeon.

hanekeswift

A lightweight generic cache for iOS written in Swift with extra love for images.

hapaperviewcontroller

UICollectionView with layout transitions inspired by Facebook Paper App

har

hatransparentview

UIView transparent subclass based on Rdio stations menu.

have-fun-with-machine-learning

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

hbhorizontaltableview

heartbeat-ios

A collection of experiences utilizing machine learning models with Fritz

helpstack

iOS Support Framework

hexo

A fast, simple & powerful blog framework, powered by Node.js.

hiplocationmanager

Block based iOS framework for handling user location detection. Supports both iOS7 and iOS8 and saves you time by handling the different permission requirements.

hipnetworking

NSURLSession based iOS networking library for iOS7 and iOS8

hjimagestogif

Convert image array to animated GIF

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

horizontalpicker

A similar to UIPickerView but horizontal picker view.

howtobeaprogrammer

A guide on how to be a Programmer - originally published by Robert L Read

hpreordertableview

Drop-in UITableView replacement to reorder cells with long press on any part of the cell

hue

Hue is the all-in-one coloring utility that you'll ever need.

human-activity-recognition

Human Activity Recognition using ML on UCI HAR dataset

human-activity-recognition-1

Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.

human-activity-recognition-in-mobile-devices-using-machine-learning

Determining the Efficiency of Data obtained from Accelerometer and Gyroscope from smartphones mapped while the subject is walking/sitting, using various machine learning algorithms k-Nearest Neighbor , Naive Bayesian Classifier, Multilayer Perceptron and C4.5 algorithm through Scikit-Learn(Python)

human-activity-recognition-using-cnn

CNN for Human Activity Recognition in Tensorflow

human_activity

predict simple human activity from smartphone accelerometer data