yeyeyeid

100-Days-Of-ML-Code

100 Days of ML Coding

100-Days-Of-ML-Code-1

100-Days-Of-ML-Code中文版

1024app-android

草榴官方客户端，小草客户端，Android

2019-Hackathon-Works-CoderLane

Coderlane is an online real-time programming environment, a high-fidelity REPL environment. It also supports multi-person programming.

2019-Hackathon-Works-Online-Debate

2019-Hackathon-Works-Vision-Enhancement-Guidoge

Guidoge is a set of assisted vision solutions based on ordinary smart mobile devices

3.OperatingSystem_in_depth

视频学习 - 深入理解操作系统

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

douyin-api

联系微信（ifuxing123）、抖音API、抖音数据、抖音直播数据、抖音直播Api、抖音视频Api、抖音爬虫、抖音去水印、抖音视频下载、抖音视频解析、抖音直播监控、抖音数据采集

spring-data-jpa-guide

spring-data-jpa-guide example

yeyeyeid/douyin-api

联系微信（ifuxing123）、抖音API、抖音数据、抖音直播数据、抖音直播Api、抖音视频Api、抖音爬虫、抖音去水印、抖音视频下载、抖音视频解析、抖音直播监控、抖音数据采集

yeyeyeid/3D-Point-Clouds

🔥3D点云目标检测&语义分割-SOTA方法,代码,论文,数据集等

yeyeyeid/advanced-go-programming-book

:books: 《Go语言高级编程》开源图书，涵盖CGO、Go汇编语言、RPC实现、Protobuf插件实现、Web框架实现、分布式系统等高阶主题(完稿)

yeyeyeid/algorithm-base

专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！

yeyeyeid/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.

yeyeyeid/Douyin-Bot

😍 Python 抖音机器人，论如何在抖音上找到漂亮小姐姐？

yeyeyeid/douyin-signature

douyin signature

yeyeyeid/douyin_downloader

👏Download all douyin videos of user(including favorites) , 下载指定用户的所有抖音视频以及收藏的视频(无水印)

yeyeyeid/free-api

收集免费的接口服务,做一个api的搬运工

yeyeyeid/head-first-go

《Head First Go语言程序设计》

yeyeyeid/interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

yeyeyeid/javacore

:coffee: JavaCore 是对 Java 核心技术的经验总结。

yeyeyeid/javaer-roadmap

javaer技术图谱，提供图谱需要的工具和电子书，除技术之外，还提供了大量圈外读物，产品、运营、管理、营销、英语等

yeyeyeid/JavaGuide-Interview

JavaGuide面试突击版

yeyeyeid/JavaSecInterview

打造最强的Java安全研究与安全开发面试题库，包含问题和详细的答案，帮助师傅们找到满意的工作

yeyeyeid/learning

Becoming better at data science every day

yeyeyeid/leeks

idea插件，查看基金

yeyeyeid/N_m3u8DL-CLI

[.NET] m3u8 downloader 开源的命令行m3u8/HLS/dash下载器，支持普通AES-128-CBC解密，多线程，自定义请求头等. 支持简体中文,繁体中文和英文. English Supported.

yeyeyeid/nlp_paper_study

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

yeyeyeid/p3c

Alibaba Java Coding Guidelines pmd implements and IDE plugin

yeyeyeid/pcl-learning

🔥PCL（Point Cloud Library）点云库学习记录

yeyeyeid/Practical_Python_Programming

北邮《Python编程与实践》课程资料

yeyeyeid/Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

yeyeyeid/Python-100-Days

Python - 100天从新手到大师

yeyeyeid/server-programming-guide

yeyeyeid/share_ppt

🚗 我个人曾经做过的技术分享...

yeyeyeid/springcloud-config

springcloud-config的配置中心

yeyeyeid/technote

编程笔记

yeyeyeid/UCAS_Course_2019

**科学院大学2019-2020课程（秋季，春季，夏季）

yeyeyeid/windows-kernel-exploits

windows-kernel-exploits Windows平台提权漏洞集合