Pinned Repositories
Awesome-ARKit
A curated list of awesome ARKit projects and resources. Feel free to contribute!
BugHunt-iOS
BugReportKit
Easier bug reports on iOS. Just take a screenshot in your app, doodle on the image, and send it away! Bug reports automatically include device metadata with free/used memory, disk and battery status. Currently, reports can be added to Github Issues, JIRA Issues, Gitlab Issues or sent as emails.
BugshotKit
iOS in-app bug reporting for developers and testers, with annotated screenshots and the console log.
CALIC
Our implementation of CALIC
ChatSecure-iOS
ChatSecure is a free and open source encrypted chat client for iOS that supports OTR and OMEMO encryption over XMPP.
GiphyAPI
Public facing API docs, notes and more
ImageSegmentation-Threshold
Sample Code for threshold image using OpenCV-Python
iOS-Learning
all proggies while learning
iOS-Library-Source
Source code of iOS library
rahul-apple's Repositories
rahul-apple/AdoBot
Open-source android spyware
rahul-apple/AdoBot-IO
AdoBot NodeJS Server with socket.io
rahul-apple/alerts-and-pickers
Advanced usage of UIAlertController and pickers based on it: Telegram, Contacts, Location, PhotoLibrary, Country, Phone Code, Currency, Date...
rahul-apple/Automatic-Trading-using-Artificial-Intelligence-machine-Learning-on-Indian-Stock-Market-_Zerodha
Online trading using Artificial Intelligence Machine leaning with python on Indian Stock Market
rahul-apple/carotid_segmentation
rahul-apple/DartSample
rahul-apple/face_recognition
The world's simplest facial recognition api for Python and the command line
rahul-apple/FaceRecognitionDjangoWebApi
a django web api for identifying people based on a image
rahul-apple/FGVideoEditor
swif版微信视屏裁剪,类似微信朋友圈视频裁剪方式的视频裁剪工具(video croping)
rahul-apple/image_segmentation_examples
Examples of Image Segmentation with Mask R-CNN from PyImageConf 2018
rahul-apple/ImageAnnotator
rahul-apple/ios
OwnTracks' iPhone App
rahul-apple/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
rahul-apple/MachineLearningStocks
Using python and scikit-learn to make stock predictions
rahul-apple/MaterialX
Our main mission is to give android developer reference for material design implementation based on Design Guideline from google https://material.io/guidelines/components/. Most of UI problem today is hard to convert UI design concept into native source code. So we try to explore and research android material design UI as similar as its guidelines design. We bring Material design to the next level. This UI template ready to use and support your projects, you can pick some part you like and implement it into your code. All folder, file name, class name variable and function method is well organized and well named make this template easy to reuse and customize.
rahul-apple/old-profile-repo
My Portfolio
rahul-apple/Overland-iOS
📌 GPS logger for iOS devices
rahul-apple/PageControl
A simple way to navigate between pages by using gestures
rahul-apple/Sample-App
Sample iOS App With Folder Structure
rahul-apple/sample_style
rahul-apple/scrcpy
Display and control your Android device
rahul-apple/shadowsocks-android
A shadowsocks client for Android
rahul-apple/skill-sample-python-fact
An Alexa Skill Sample showing how to build a fact skill in Python.
rahul-apple/skill-sample-python-quiz-game
An Alexa Skill Sample showing how to build a quiz game skill in Python.
rahul-apple/SpyAppClient
An android Spy app using FireBase
rahul-apple/stickers
This repository contains the iOS and Android sample apps and API for creating third party sticker packs for WhatsApp.
rahul-apple/ultrasound-nerve-segmentation
Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras
rahul-apple/whatsapp-assistant-bot
A personal WhatsApp assistant bot that will help you search anything on the web (Google, Images, Google Maps)
rahul-apple/whatsapp-web-bot
Whatsapp Web Bot - Example of Bot for use on Whatsapp Web (on Chrome)
rahul-apple/ZWIntroductionViewController
A simple custom app introductions and tutorials and welcome video