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data-science-ipython-notebooks icon data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dataengineering icon dataengineering

Sample of my Kafka + Spark Streaming + HBase + Hive + Impala skills.

datalink icon datalink

DataLink是一个满足各种异构数据源之间的实时增量同步,分布式、可扩展的数据交换平台。

dataming-platform icon dataming-platform

数据挖掘实验平台。该平台提供了常见的数据挖掘算法,在前端页面,用户只需上传csv格式的数据,即可实现结果预测。该平台现正在不断建设与完善中。

datax-bin icon datax-bin

DataX 是异构数据广泛使用的离线数据同步工具/平台,实现包括 MySQL、Oracle、SqlServer、Postgre、HDFS、Hive、ADS、HBase、OTS、ODPS 等各种异构数据源之间高效的数据同步功能。

datumbox-framework icon datumbox-framework

Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

davinci icon davinci

Davinci is a DVaaS (Data Visualization as a Service) Platform

dbmaster icon dbmaster

一个python实现的online SQL 查询器

dbmon icon dbmon

python+Django数据库监控平台(新版) Linux/Oracle/Mysql基础监控+性能监控

dcache icon dcache

A distributed in-memory NOSQL system based on TARS framework, support LRU algorithm and data persists on back-end database. Users can easily deploy, publish, and scale services on the web interface.

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

deepdetect icon deepdetect

Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow, XGBoost and TSNE

deeplearn-api icon deeplearn-api

本平台利用Google推出的深度学习框架TensorFlow基于CNN(卷积神经网络)、RNN(循环神经网络)、LSTM(长短期记忆模型)的若干算法和API构建文本分类、文本相似度计算和文本内容摘要这三个具体应用。本平台将数据特征处理、深度学习模型构建和预测的流程进行了良好的封装,用户仅需几步简单的页面操作即可完成一项复杂、艰巨的深度学习任务,在NLP领域需要针对性的语料库,在构建具体的智能应用时需要使用者提供相应的预料数据。

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

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