Pinned Repositories
alicloud-ios-demo
Demos for AMS iOS SDKs
awesome-swift
这份文档汇集了Swift 开源精选资源（思维导图形式呈现）
BasicDemos-iOS
iOS学习进程中的demo汇总
Best-App
收集&推荐优秀的 Apps/硬件/技巧/周边等
iOSDevNotesAndInterviews
🚴 iOS interview questions,git, dev notes, and more
lantern
🔴Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴蓝灯最新版本下载 https://github.com/getlantern/forum/issues/833 🔴
Xposed-Fingerprint-pay
让微信和支付宝在支持指纹识别的手机上使用指纹支付
XposedBridge
The Java part of the Xposed framework.
XposedInstaller
XposedMods
Modifications using the Xposed framework
CaffeCat's Repositories
CaffeCat/iOSDevNotesAndInterviews
🚴 iOS interview questions,git, dev notes, and more
CaffeCat/alicloud-ios-demo
Demos for AMS iOS SDKs
CaffeCat/awesome-swift
这份文档汇集了Swift 开源精选资源（思维导图形式呈现）
CaffeCat/BasicDemos-iOS
iOS学习进程中的demo汇总
CaffeCat/Best-App
收集&推荐优秀的 Apps/硬件/技巧/周边等
CaffeCat/Boostnote
A markdown editor for developers on Mac, Windows and Linux.
CaffeCat/CaffeCandles
CandleStickDemo
CaffeCat/CellularInfo-iOS
An app created for Cellular Coverage study for FView
CaffeCat/ChartDemo
CaffeCat/Charts
Beautiful charts for iOS/tvOS/OSX! The Apple side of the crossplatform MPAndroidChart.
CaffeCat/DMHXDemo
demo
CaffeCat/free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍，欢迎投稿
CaffeCat/GoBooks
List of Golang books
CaffeCat/JXQuant
该库主要分享“匠芯量化”公众号内的策略源码，更多策略细节请关注微信公众号：“匠芯量化”（微信搜索公众号“jxquant”）。
CaffeCat/LearnMetal
Metal 入门教程
CaffeCat/NetNewsWire
RSS reader for macOS and iOS.
CaffeCat/nonsenseIM
it just for test, nonsense
CaffeCat/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
CaffeCat/shadowsocks-iOS
Removed according to regulations.
CaffeCat/sing-box
The universal proxy platform
CaffeCat/Specs
The CocoaPods Master Repo
CaffeCat/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
CaffeCat/swift-ui-animation-components-and-libraries
Swift UI libraries, iOS components and animations by @Ramotion - https://dev.ramotion.com/gthbr
CaffeCat/Telegram
Telegram Messenger for iOS
CaffeCat/TrackersListCollection
🎈 Updated daily! A list of popular BitTorrent Trackers! / 每天更新！全网热门 BT Tracker 列表！
CaffeCat/UITest
CaffeCat/V2ex-Swift
An iOS client written in Swift for V2EX
CaffeCat/v2ray-core
A platform for building proxies to bypass network restrictions.
CaffeCat/wcdb
WCDB is a cross-platform database framework developed by WeChat.
CaffeCat/XBEchoCancellation
基于audio unit的回音消除，转载请注明出处