wgy230041 Goto Github PK

.emacs.d

emacs-config

android-skill-summary

Android 技能总结，各种基础和进阶内容的资料收集

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

books

chinese-programmer-wrong-pronunciation

**程序员容易发音错误的单词

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

coding

Data Structures and Algorithms (DSA) Preparation sheet

coding-exercises

Exercises for the coding course:

collage-contest-manage-system

community

This repository holds the content submitted to https://cloud.google.com/community. Files added to the tutorials/ will appear at https://cloud.google.com/community/tutorials.

computer-network-6250

computersciencebooks

Some Useful books for Computer Science

coms4995-s19

COMS W4995 Applied Machine Learning - Spring 19

cpp-primer-plus-6th

《C++ Primer Plus 第6版（中文版）》原书代码、习题答案和个人笔记，仅供学习和交流。

cppprimeexercise

自己的c++练习代码库

cracking_the_coding_interview

(Under Construction) Solutions I attempt to solve, all in C++, from the book "Cracking the Coding Interview.", Triplebyte, LeetCode, and AlgoExpert & System Expert

cracking_the_machine_learning_interview

(Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subhrajit Roy. In the past year since the article went public, Subhrajit has only written down the questions with no update on the solutions. I plan on finishing the war. I may add more questions outside of the articl

cs-7643-deep-learning

Code for assignments of the graduate course CS 7643: Deep Learning offered at Georgia Tech in Fall 2018.

cs-notes

😋 技术面试必备基础知识

cs6300

Android Cryptogram App (specs and code)

datastructures-algorithms

Data Structure and Algorithms

decisionmaking

Preview of the textbook Algorithms for Decision Making

deep-learning-experiments

Notes and experiments to understand deep learning concepts

digital-image-processing

数字图像处理课程实验

distances-between-pairs-of-vectors-and-histograms

1. Generate a sequence of 100 points, with uniform distribution in [0,1]. 2. Find the “average” distance between two points chosen at random in the interval [0,1]. 3. Graph the relative frequency of pairs of points located at a distance d.

dockers-demo

docker

easy-tensorflow

Simple and comprehensive tutorials in TensorFlow

ebook

学习资料

educate-resource-for-machine-learning

electron-vue-cloud-music

🚀Electron + Vue 仿网易云音乐windows客户端