崔江

@cui_jiang

崔江 暂无简介

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    崔江/CS-EmbeddedLinux-Book forked from ZhongYi/CS-EmbeddedLinux-Book

    嵌入式,计算机常用电子书籍整理,并且附带下载链接,涵盖:ARM体系与架构,C/C++语言,汇编语言,操作系统,计算机网络,计算组成原理,Linux驱动,Linux内核,单片机开发,程序员认知成长,笔试面试技巧等书籍。长期更新中,欢迎star~

    崔江/lihang-code forked from yanghao ee/lihang-code

    github李航统计学习方法的python实现。

    崔江/pytorch-tutorial

    PyTorch Tutorial for Deep Learning Researchers

    崔江/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,50余万字。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

    崔江/Statistical-Learning-Method_Code

    手写实现李航《统计学习方法》书中全部算法

    崔江/awesome-RecSys

    Must-read papers on recommendation systems (RecSys)

    崔江/d2l-pytorch

    This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

    崔江/dive-into-cv-pytorch

    动手学CV-Pytorch版

    崔江/joyful-pandas

    Pandas中文教程

    崔江/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

    崔江/Awesome-pytorch-list

    A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

    崔江/Awesome-pytorch-list-CNVersion

    Awesome-pytorch-list 翻译工作进行中......

    崔江/dlwpt-code

    Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

    崔江/interviews

    Everything you need to know to get the job.

    崔江/MachineLearning_Python

    机器学习算法python实现

    崔江/interpy-zh

    《Python进阶》(Intermediate Python 中文版)

    崔江/practicalAI-cn

    AI实战-practicalAI 中文版

    崔江/python-patterns

    A collection of design patterns/idioms in Python

    崔江/ML-From-Scratch forked from zhouchiji/ML-From-Scratch

    Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

    崔江/d2l-zh

    《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论(STAT 157)”教材。

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