yilihr Goto Github PK

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

ar.js

Efficient Augmented Reality for the Web - 60fps on mobile!

assembly-learning

awesome

:sunglasses: Curated list of awesome lists

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

csapp

CSAPP,《深入理解计算机系统结构》2nd ，阅读与实践！

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

emoji-mosaic

free-programming-books

:books: Freely available programming books

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

github-cheat-sheet

A list of cool features of Git and GitHub.

github-markdown-toc.go

Easy TOC creation for GitHub README.md (in go)

gitskills

hello-world

new

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

learn-python3

Learn Python 3 Sample Code

learngit

learngit-1

教程→ http://t.cn/zQ6LFwE 赞助→ http://t.cn/R5bhVpf 推送请使用UTF-8编码

librec

LibRec: A Leading Java Library for Recommender Systems, see

librec-to-movies

librec application to movies recommender system

lsbaws

Let's Build A Web Server

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

master-machine

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

my520

520表白神器

oh-my-zsh

A delightful community-driven (with 1,100+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

sgm

Sequence Generation Model for Multi-label Classification (COLING 2018)