ODWZ's Stars
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
521xueweihan/HelloGitHub
:octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
PanJiaChen/vue-element-admin
:tada: A magical vue admin https://panjiachen.github.io/vue-element-admin
MisterBooo/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
ryanhanwu/How-To-Ask-Questions-The-Smart-Way
本文原文由知名 Hacker Eric S. Raymond 所撰寫,教你如何正確的提出技術問題並獲得你滿意的答案。
wuyouzhuguli/SpringAll
循序渐进,学习Spring Boot、Spring Boot & Shiro、Spring Batch、Spring Cloud、Spring Cloud Alibaba、Spring Security & Spring Security OAuth2,博客Spring系列源码:https://mrbird.cc
zxwk1998/vue-admin-better
🎉 vue admin,vue3 admin,vue3.0 admin,vue后台管理,vue-admin,vue3.0-admin,admin,vue-admin,vue-element-admin,ant-design,vab admin pro,vab admin plus,vue admin plus,vue admin pro
jikexueyuanwiki/tensorflow-zh
谷歌全新开源人工智能系统TensorFlow官方文档中文版
ygs-code/vue
vue源码逐行注释分析+40多m的vue源码程序流程图思维导图(vue source code line by line annotation analysis +40 + m vue source code process flow chart mind map)
YoulianBoshi/vpn
CSAILVision/gandissect
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Thinkgamer/books
技术资料分享
AnyListen/YaVipCore
Net Core Music Interface
nrop19/weiman_app
微漫app的脱敏代码
Auto-Accounting/Qianji_auto
钱迹自动记账插件
kasuganosoras/Pigeon
💬 一个轻量化的留言板 / 记事本 / 社交系统 / 博客。人类的本质是……咕咕咕?
luanshiyinyang/Stacking
机器学习集成模型之Stacking各类模型及工具源码
NTDXYG/Neo4j
基于电影知识图谱和微信小程序的智能问答系统
RUANHAOANDROID/heji
多人同时记账,账单统计可视化,账单区分权限,账单导入,账单导出
ricear/PocketFilm
免费观看最新影视资源
LeBron-Jian/sofasofa-learn
ns-hua/b-zhan-
b站代码
sebsui/JavaRank
Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.
NTDXYG/bishe
毕业设计后台
ooizj/ooizj.github.io
huabowen/MessageBoard
PHP 留言板制作教程,https://www.php.cn/course/128.html
ODWZ/Music-Recommendation-System
This project report is dedicated to construction and implementation of recommendation models using Spark‘s Alternating Least Squares (ALS) method. The objective of the recom- mendation system is to learn latent factor representations for users and items, and finally give top 500 recommendations of song tracks for each user.
ODWZ/php_MessageBoard
用php实现的简单留言板