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叶枫's Projects

abagail icon abagail

机器学习。The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves.

adwords-query-ranking-oracle icon adwords-query-ranking-oracle

On-line advertising has been one of the most booming markets since the first on-line ads showed up on the web and now it is a market of hundreds of billions of dollars globally and it still has not lost the steam. Google got $32.2 billion in advertising revenue which is 97% of Google’s total revenue in Q3 2010 - Q2 2011. By far the most lucrative venue for on-line advertising has been search, and much of the effectiveness of search advertising comes from the “AdWords” model of matching search queries to advertisements. For this project, you need to use Java to access an Oracle database and accomplish an on-line ads auction system using various bidding algorithms. 1.1.1 Definition of the AdWords Problem We are going to consider on-line algorithms for solving the AdWords problem, which is defined as follows. Given: • A set of bids by advertisers for search queries; • A click-through rate for each advertiser-query pair; • A budget for each advertiser; • A limit on the number of ads to be displayed with each search query. Respond to each search query with a set of advertisers such that: • The size of the set is no larger than the limit on the number of ads per query. • Each advertiser has bid on the search query. • Each advertiser has enough budget left to pay for the ad if it is clicked upon. The data set consists of three database tables: (primary keys are underlined) Queries(qid:INTEGER, query:VARCHAR(100)) Advertisers(advertiserId:INTEGER, budget:FLOAT, ctc:FLOAT) Keywords(advertiserId:INTEGER, keyword:VARCHAR(100), bid:FLOAT)

ahanlp icon ahanlp

啊哈自然语言处理包,提供包括分词、依存句法分析、自动摘要、语义相似度计算、LDA 主题预测、词云等服务。

aho-corasick icon aho-corasick

AC算法,Java implementation of the Aho-Corasick algorithm for efficient string matching

aho-corasick-1 icon aho-corasick-1

AC算法。Aho-Corasick algorithm as implemented in Java by Danny Yoo, with little improvements

aias icon aias

AIAS (AI Accelerator Suite) is an accelerator suite for AI algorithm implementation, consisting of over 100 projects including SDKs, platform engines, and scenario suites.

albert_zh icon albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

alchemy icon alchemy

给flink开发的web系统。支持页面上定义udf,进行sql和jar任务的提交;支持source、sink、job的管理;可以管理openshift上的flink集群

algorithms icon algorithms

常用算法。Solutions for some common algorithm problems written in Java.

analyzer-profile icon analyzer-profile

多种分词器的封装,重点修改了原IK/mmseg4j/HanLP分词器,增加对象池和Lucene/Solr封装,其中Lucene/Solr版本为5.1.0。

antares icon antares

分布式任务调度平台(Distributed Job Schedule Platform)

anyformula icon anyformula

a 100% java formula parser which supports customized functions and variables.

anywebloader icon anywebloader

A framework which help you download your web library and load web context.

aqiu-spring-boot-starter-projects icon aqiu-spring-boot-starter-projects

二维码、验证码、短信、日志、限流、Redis等封装,个人封装的一些开箱即用的Spring Boot Starter组件,简单且实用,后续会根据需求进行持续扩展!

arbiter icon arbiter

机器学习算法评价工具,A platform agnostic Evaluation tool for Machine Learning algorithms

areacity-jsspider-statsgov icon areacity-jsspider-statsgov

省市区县乡镇三级或四级城市数据,带拼音标注、坐标、行政区域边界范围;2023年06月04日最新采集,提供csv格式文件,支持在线转成多级联动js代码、通用json格式,提供软件转成shp、geojson、sql、导入数据库;带浏览器里面运行的js采集源码,综合了中华人民共和国民政部、国家统计局、高德地图、腾讯地图行政区划数据

areacity-query-geometry icon areacity-query-geometry

坐标边界查询工具:使用jts库从省市区县乡镇边界数据或geojson边界数据文件中查找出和任意点、线、面有相交的矢量边界,提供HTTP API接口,内存占用低,性能优良(1秒可查1万个以上坐标对应的城市信息)

asrt_speechrecognition icon asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

auto-log icon auto-log

The auto log tool for java.(java 自动日志输出,基于字节码,兼容 spring)

autoloadcache icon autoloadcache

AutoLoadCache 是基于AOP+Annotation等技术实现的高效的缓存管理解决方案,实现缓存与业务逻辑的解耦,并增加异步刷新及“拿来主义机制”,以适应高并发环境下的使用。

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