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donkeywx's Projects

ai-edu icon ai-edu

AI education materials for Chinese students, teachers and IT professionals.

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

c_server_breeze icon c_server_breeze

一个C++的轻量级的分布式服务器引擎, 架构**为一切皆service.

c_server_sylar icon c_server_sylar

C++高性能分布式服务器框架,webserver,websocket server,自定义tcp_server(包含日志模块,配置模块,线程模块,协程模块,协程调度模块,io协程调度模块,hook模块,socket模块,bytearray序列化,http模块,TcpServer模块,Websocket模块,Https模块等, Smtp邮件模块, MySQL, SQLite3, ORM,Redis,Zookeeper)

course_2 icon course_2

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

cpp-server icon cpp-server

这是我维护的蘑菇街TeamTalk源码,一款

cpp-server-libco icon cpp-server-libco

libco is a coroutine library which is widely used in wechat back-end service. It has been running on tens of thousands of machines since 2013.

cs-xmind-note icon cs-xmind-note

计算机专业课(408)思维导图和笔记:计算机组成原理(第五版 王爱英),数据结构(王道),计算机网络(第七版 谢希仁),操作系统(第四版 汤小丹)

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

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

deep-learning-interview-book icon deep-learning-interview-book

深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)

deeplearning icon deeplearning

Python for “Deep Learning”,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

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15个章节,近20万字。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

deeplearning-book icon deeplearning-book

《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。面向中文读者、能运行、可讨论。

deepspeech icon deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

docker_practice icon docker_practice

Learn and understand Docker technologies, with real DevOps practice!

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