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cnn icon cnn

基于Java实现CNN,并附MNIST和语音(MFCC特征)性别识别示例。

comdetection icon comdetection

python version of "Fast unfolding of community hierarchies in large networks"

con_sentence icon con_sentence

卷积神经网络(CNN)应用于中文文本分析任务

cosin icon cosin

🌲 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

crawler_samples icon crawler_samples

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

data007 icon data007

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。

datacleaner icon datacleaner

A Python tool that automatically cleans data sets and readies them for analysis.

dataminingcluster icon dataminingcluster

Implementation of text clustering algorithms including K-means, MBSAS, DBSCAN.

deep_q_rl icon deep_q_rl

Theano-based implementation of Deep Q-learning

deer icon deer

DEEp Reinforcement learning framework

distribute_crawler icon distribute_crawler

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

distributed_spider_pku_java icon distributed_spider_pku_java

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

dogjudge icon dogjudge

爬取百度图片各种狗狗的图片,使用caffe训练模型分类

drl-flappybird icon drl-flappybird

Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)

duty icon duty

考勤管理系统,打卡数据分析和统计

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