ubsion's Stars
Lax/Learn-iOS-Swift-by-Examples
精心收集并分类整理的Swift开发学习资源，包括Apple官方提供的示例代码和文档，以及github上的项目和国内外开发者的技术博客。欢迎提交pull-request一起维护。https://t.me/SwiftCN QQ交流群 32958950 申请请注明开发经验
realm/realm-swift
Realm is a mobile database: a replacement for Core Data & SQLite
kodecocodes/swift-algorithm-club
Algorithms and data structures in Swift, with explanations!
ReactiveX/RxSwift
Reactive Programming in Swift
facebookarchive/swift
An annotation-based Java library for creating Thrift serializable types and services.
swiftlang/swift
The Swift Programming Language
ninjaprox/NVActivityIndicatorView
A collection of awesome loading animations
TonnyL/Awesome_APIs
:octocat: A collection of APIs
xmartlabs/Eureka
Elegant iOS form builder in Swift
Solido/awesome-flutter
An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.
xai-org/grok-1
Grok open release
google/android-classyshark
Android and Java bytecode viewer
Azure-Samples/cognitive-services-speech-sdk
Sample code for the Microsoft Cognitive Services Speech SDK
BohdanOrlov/iOS-Developer-Roadmap
Roadmap to becoming an iOS developer in 2018.
ZipArchive/ZipArchive
ZipArchive is a simple utility class for zipping and unzipping files on iOS, macOS and tvOS.
tencentyun/qcloud-documents
腾讯云官方文档
jitsi/jitsi-meet-sdk-samples
Jitsi Meet mobile SDK examples (Android, iOS and React Native)
ubsion/awesome-ios-ui
A curated list of awesome iOS UI/UX libraries
Lede-Inc/LDBusBundle_IOS
LDBus的目标：（保持业务组件的相对独立性，尽量解耦业务组件之间的代码依赖）
soffes/SAMKeychain
Simple Objective-C wrapper for the keychain that works on Mac and iOS
kishikawakatsumi/UICKeyChainStore
UICKeyChainStore is a simple wrapper for Keychain on iOS, watchOS, tvOS and macOS. Makes using Keychain APIs as easy as NSUserDefaults.
NAalytics/Assemblies-of-putative-SARS-CoV2-spike-encoding-mRNA-sequences-for-vaccines-BNT-162b2-and-mRNA-1273
RNA vaccines have become a key tool in moving forward through the challenges raised both in the current pandemic and in numerous other public health and medical challenges. With the rollout of vaccines for COVID-19, these synthetic mRNAs have become broadly distributed RNA species in numerous human populations. Despite their ubiquity, sequences are not always available for such RNAs. Standard methods facilitate such sequencing. In this note, we provide experimental sequence information for the RNA components of the initial Moderna (https://pubmed.ncbi.nlm.nih.gov/32756549/) and Pfizer/BioNTech (https://pubmed.ncbi.nlm.nih.gov/33301246/) COVID-19 vaccines, allowing a working assembly of the former and a confirmation of previously reported sequence information for the latter RNA. Sharing of sequence information for broadly used therapeutics has the benefit of allowing any researchers or clinicians using sequencing approaches to rapidly identify such sequences as therapeutic-derived rather than host or infectious in origin. For this work, RNAs were obtained as discards from the small portions of vaccine doses that remained in vials after immunization; such portions would have been required to be otherwise discarded and were analyzed under FDA authorization for research use. To obtain the small amounts of RNA needed for characterization, vaccine remnants were phenol-chloroform extracted using TRIzol Reagent (Invitrogen), with intactness assessed by Agilent 2100 Bioanalyzer before and after extraction. Although our analysis mainly focused on RNAs obtained as soon as possible following discard, we also analyzed samples which had been refrigerated (~4 ℃) for up to 42 days with and without the addition of EDTA. Interestingly a substantial fraction of the RNA remained intact in these preparations. We note that the formulation of the vaccines includes numerous key chemical components which are quite possibly unstable under these conditions-- so these data certainly do not suggest that the vaccine as a biological agent is stable. But it is of interest that chemical stability of RNA itself is not sufficient to preclude eventual development of vaccines with a much less involved cold-chain storage and transportation. For further analysis, the initial RNAs were fragmented by heating to 94℃, primed with a random hexamer-tailed adaptor, amplified through a template-switch protocol (Takara SMARTerer Stranded RNA-seq kit), and sequenced using a MiSeq instrument (Illumina) with paired end 78-per end sequencing. As a reference material in specific assays, we included RNA of known concentration and sequence (from bacteriophage MS2). From these data, we obtained partial information on strandedness and a set of segments that could be used for assembly. This was particularly useful for the Moderna vaccine, for which the original vaccine RNA sequence was not available at the time our study was carried out. Contigs encoding full-length spikes were assembled from the Moderna and Pfizer datasets. The Pfizer/BioNTech data [Figure 1] verified the reported sequence for that vaccine (https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/), while the Moderna sequence [Figure 2] could not be checked against a published reference. RNA preparations lacking dsRNA are desirable in generating vaccine formulations as these will minimize an otherwise dramatic biological (and nonspecific) response that vertebrates have to double stranded character in RNA (https://www.nature.com/articles/nrd.2017.243). In the sequence data that we analyzed, we found that the vast majority of reads were from the expected sense strand. In addition, the minority of antisense reads appeared different from sense reads in lacking the characteristic extensions expected from the template switching protocol. Examining only the reads with an evident template switch (as an indicator for strand-of-origin), we observed that both vaccines overwhelmingly yielded sense reads (>99.99%). Independent sequencing assays and other experimental measurements are ongoing and will be needed to determine whether this template-switched sense read fraction in the SmarterSeq protocol indeed represents the actual dsRNA content in the original material. This work provides an initial assessment of two RNAs that are now a part of the human ecosystem and that are likely to appear in numerous other high throughput RNA-seq studies in which a fraction of the individuals may have previously been vaccinated. ProtoAcknowledgements: Thanks to our colleagues for help and suggestions (Nimit Jain, Emily Greenwald, Lamia Wahba, William Wang, Amisha Kumar, Sameer Sundrani, David Lipman, Bijoyita Roy). Figure 1: Spike-encoding contig assembled from BioNTech/Pfizer BNT-162b2 vaccine. Although the full coding region is included, the nature of the methodology used for sequencing and assembly is such that the assembled contig could lack some sequence from the ends of the RNA. Within the assembled sequence, this hypothetical sequence shows a perfect match to the corresponding sequence from documents available online derived from manufacturer communications with the World Health Organization [as reported by https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/]. The 5’ end for the assembly matches the start site noted in these documents, while the read-based assembly lacks an interrupted polyA tail (A30(GCATATGACT)A70) that is expected to be present in the mRNA.
SVGKit/SVGKit
Display and interact with SVG Images on iOS / OS X, using native rendering (CoreAnimation)
521xueweihan/GitHub520
:kissing_heart: 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）
TheAlgorithms/C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
JackJiang2011/MobileIMSDK
一个原创多端IM通信层框架，轻量级、高度提炼，历经10年、久经考验。可能是市面上唯一同时支持UDP+TCP+WebSocket三种协议的同类开源框架，支持 iOS、Android、Java、H5、小程序、Uniapp，服务端基于Netty。
swisspol/GCDWebServer
The #1 HTTP server for iOS, macOS & tvOS (also includes web based uploader & WebDAV server)
leereilly/games
:video_game: A list of popular/awesome video games, add-ons, maps, etc. hosted on GitHub. Any genre. Any platform. Any engine.
iOSDevLog/com.apple.amp.itmstransporter
~/Library/Caches/com.apple.amp.itmstransporter
lowlighter/metrics
📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!