houtatsu16's Stars
whusnoopy/renrenBackup
A backup tool for renren.com
ninechapter-algorithm/leetcode-linghu-templete
算法面试必备,推荐刷题网站www.lintcode.com。北大学霸的《LeetCode刷题模板》+V领取: jiuzhangfeifei
G33kzD3n/Catalogue
ardiereally/sysdesign-references
Collection of references from Alex Xu's book "System Design Interview - An Insider's Guide"
BlakeBrown/HackerRank-Solutions
HackerRank concepts & solutions
dongaba/TVerRec
TVerRecは、TVerの番組をダウンロード保存するためのダウンロード支援ツールです。番組のジャンルや出演タレント、番組名などを指定して一括ダウンロードする支援をします。CMは入っていないため気に入った番組を配信終了後も残しておくことができます。1回起動すれば新しい番組が配信される度にダウンロードされます。
MLEveryday/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
findmyway/TianJun.jl
All about me.
stacklens/django_blog_tutorial
Django搭建博客教程
justdjango/django-ecommerce
An e-commerce website built with Django
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
styfeng/DataAug4NLP
Collection of papers and resources for data augmentation for NLP.
cetic/unikernels
Unikernel and immutable infrastructures
StanfordSNR/gg
The Stanford Builder
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
NLP-LOVE/Introduction-NLP
HanLP作者的新书《自然语言处理入门》详细笔记!业界良心之作,书中不是枯燥无味的公式罗列,而是用白话阐述的通俗易懂的算法模型。从基本概念出发,逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。
YeXiaoRain/JOS_LAB_MIT_2017
代码MIT 2016-2017年JOS LAB(6/6) 过程记录文档为SJTU+MIT
Dod-o/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
moemen95/Pytorch-Project-Template
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
huihongxiao/MIT6.S081
remzi-arpacidusseau/ostep-code
Code from various chapters in OSTEP (http://www.ostep.org)
iCSToCS/CSBook
计算机类常用电子书整理,并且附带下载链接,包括Java,Python,Linux,Go,C,C++,数据结构与算法,人工智能,计算机基础,面试,设计模式,数据库,前端等书籍
loveunk/Deep-learning-books
Books for machine learning, deep learning, math, NLP, CV, RL, etc
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.