jackylee1's repositories
OpenVR-InputEmulator
An OpenVR driver that allows to create virtual controllers, emulate controller input, manipulate poses of existing controllers and remap buttons. A client-side library that communicates with the driver via shared-memory is also included.
Assembly-learning
记录汇编语言学习中的有趣点，参考书籍《汇编语言第三版 王爽著》
Cross-modal-retrieval
Activity image-based video retrieval
ecommerce-open-api
果酱小店：基于 Laravel + swoole + 小程序的开源电商系统，优雅与性能兼顾 : )
HoudiniHowtos
Houdini recipe files repository.
litemall
又一个小商城。litemall = Spring Boot后端 + Vue管理员前端 + 微信小程序用户前端 + Vue用户移动端
MKR
A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)
movierecommend
基于Spring Boot的大数据电影推荐系统，采用协同过滤算法实现个性化推荐，前端地址https://github.com/erxuesun/moviefront
Personalized-recommend
基于tensorflow的个性化电影推荐系统实战(有前端)
pifuhd
High-Resolution 3D Human Digitization from A Single Image.
realtimehot-weibo
在WordPress中加入微博热搜榜，随时随地 get 实时微博热搜，一键直达！
RigNet
Code for SIGGRAPH 2020 paper "RigNet: Neural Rigging for Articulated Characters"
RuleBasedModelV2
改进过的rule版本
shop
E-Comerce website using Laravel & Vue.js
shopxo
ShopXO免费开源商城系统、国内领先企业级B2C免费开源电商系统，包含PC、h5、微信小程序、支付宝小程序、百度小程序、头条&抖音小程序、QQ小程序，遵循Apache2开源协议发布、基于ThinkPHP5.1框架研发
Spark-Java
慕课网Spark课程Java代码实现
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
WechatHomework
微信群接收作业（图片文档txt等），保存至本地
WeeShop
优雅易用的微信小程序商城，PHP商城。 基于Laravel的基因，来自Symfony的底层技术，来自Drupal Commerce的核心技术，由Drupal**开源社区维护。QQ群：714023327
weibo-hot-search
利用lxml和requests库，对微博热搜进行爬取
Youtube-data-xtracter
YouTube is the world’s largest video-sharing site with about 1.9 billion monthly active users. People use it to share info, teach, entertain, advertise and much more. So YouTube has so much data that one can utilize to carry out research and analysis. For example, extracting YouTube video comments can be useful to run Sentiment Analysis and other Natural Language Processing tasks. YouTube API enables you to search for videos matching specific search criteria. In this tutorial, you will learn how to extract comments from YouTube videos and store them in a CSV file using Python. It will cover setting up a project on Google console, enabling the necessary YouTube API and finally writing the script that interacts with the YouTube API.