Pinned Repositories
cn-deep-learning
https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/
coding-interview-university
A complete computer science study plan to become a software engineer.
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
DNA_alignment_HMM
gitskills
hadoop_homework
Learning-PySpark
Code repository for Learning PySpark by Packt
learning-spark
Example code from Learning Spark book
learning_tf
深度学习之TensorFlow：入门、原理与进阶实战
Play-with-Algorithm-Interview
Codes of my MOOC Course <Play with Algorithm Interviews>. Updated contents and practices are also included. 我在慕课网上的课程《玩儿转算法面试》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
chentong456's Repositories
chentong456/Play-with-Algorithm-Interview
Codes of my MOOC Course <Play with Algorithm Interviews>. Updated contents and practices are also included. 我在慕课网上的课程《玩儿转算法面试》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
chentong456/cn-deep-learning
https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/
chentong456/coding-interview-university
A complete computer science study plan to become a software engineer.
chentong456/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
chentong456/DNA_alignment_HMM
chentong456/gitskills
chentong456/hadoop_homework
chentong456/Learning-PySpark
Code repository for Learning PySpark by Packt
chentong456/learning-spark
Example code from Learning Spark book
chentong456/learning_tf
深度学习之TensorFlow：入门、原理与进阶实战
chentong456/learningit
chentong456/leetcode
Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.
chentong456/Machine-Learning-with-Spark
Create scalable machine learning applications to power a modern data-driven business using Spark
chentong456/MLND_CN_P5_Reinforcement_Learning
nd009-cn-advanced-p5，针对Udacity CN MLND P5项目
chentong456/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
chentong456/WordEmbedding
神经网络生成WordEmbedding
chentong456/zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.