ll2088's repositories
Ad-papers
Papers on Computational Advertising
annoy-utils
Utilities for Building and Retrieving Annoy Index
awesome-RecSys-papers
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
jmessage-api-python-client
JiGuang's officially supported Python client library for accessing JMessage APIs. 极光官方支持的 JMessage Python 版本服务器端 SDK。
Level-Hashing
Write-Optimized and High-Performance Hashing Index Scheme for Persistent Memory (OSDI 2018, TOS 2019)
ML-NOTE
:orange_book:慢慢整理所学的机器学习算法，并根据自己所理解的样子叙述出来。(注重数学推导)
model-trust
CVPR-2020 Submission
Movie_Recommend
基于Spark的电影推荐系统，包含爬虫项目、web网站、后台管理系统以及spark推荐系统
movie_recommender
MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。
MovieRecommender
基于Mahout实现协同过滤推荐算法的电影推荐系统
Reco-papers
Classic papers and resources on recommendation
Recommender-System
推荐系统综述
RecSys
项亮的《推荐系统实践》的代码实现
redis
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.
RSPapers
Must-read papers on Recommender System.
Super-SloMo
PyTorch implementation of Super SloMo by Jiang et al.
TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
UBR4CTR
UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.
weapp.socket.io
A WebSocket client for building WeChat Mini Program implement by socket.io
WeChatExtension-ForMac
Mac微信功能拓展/微信插件/微信小助手(A plugin for Mac WeChat)
x-deeplearning
An industrial deep learning framework for high-dimension sparse data