jsonbao Goto Github PK
Type: User
Type: User
基于Java实现CNN,并附MNIST和语音(MFCC特征)性别识别示例。
Convolutional Neural Network for Text Classification in Tensorflow
CNNs for sentence classification
The Convolutional Neural Network(CNN) for Android
python version of "Fast unfolding of community hierarchies in large networks"
卷积神经网络(CNN)应用于中文文本分析任务
🌲 春松客服,多渠道智能客服系统,开源客服系统 | 🔥博客火热更新中
各种爬虫/API/数据清洗/机器学习等大数据应用源码,可以直接在 神箭手云 上运行
crmeb_java
Daily Stock Forecasts using Machine Learning (SVM regression)
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
类似数据魔方的淘宝数据分析工具,包括商品分析,店铺分析,类别分析,品牌分析等。
A Python tool that automatically cleans data sets and readies them for analysis.
Implementation of text clustering algorithms including K-means, MBSAS, DBSCAN.
List of resources to get started with Deep Learning for NLP.
Theano-based implementation of Deep Q-learning
Deep Learning Tutorial notes and code. See the wiki for more info.
DEEp Reinforcement learning framework
使用scrapy,redis, mongodb,graphite实现的一个分布式网络爬虫,底层存储mongodb集群,分布式使用redis实现,爬虫状态显示使用graphite实现
1. 主要分为三个模块,一个爬虫抓取模块,一个是数据处理模块,一个是用户模块。 2. 爬虫抓取模块主要是从直播吧、新浪体育、网易体育上爬取有关足球的新闻和用户关于足球的评论,利用集群HADOOP抓取网页,分析得出URL集,提取特征URL 3. 网页linux脚本过滤得到原始网页,然后二次过滤得到文本,并使用分布式储存。 4. 处理模块主要是根据训练集规则一和规则二,得到分词器,然后对文本进行操作,得出训练结果。 5. 通过特征脚本得到训练结果的特征词分类,然后提取出球队模糊集和球星模糊集。 6. 过滤得到球队精确集和球星精确集,并存入MYSQL数据库。 7. 从数据库中提取球星和球队的信息进行图表分析,并动态显示WIKI信息,调入显示模块中和用户进行交换
An example project built using django 1.7 and scrapy 1.0.3
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
A Java implementation of doc2vec in ICML'14
爬取百度图片各种狗狗的图片,使用caffe训练模型分类
Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)
基于区块链的药品溯源系统(学习开发中)
考勤管理系统,打卡数据分析和统计
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.