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Must-read papers on recommendation systems (RecSys)
使用BP神经网络、RBF神经网络以及PSO优化的RBF神经网络进行数据的预测
中文商品评论短文本分类器,可用于情感分析
RFC for common in-memory tensor structure and operator interface for deep learning system
一个基于SSM框架与物品的协同过滤算法(ItemCF)的简单电子书推荐系统
没有什么
IM server based on netty. Provides a client jar. Integrate with your own login system.基于netty实现的IM服务端,提供客户端jar包,可集成自己的登录系统
😢备战2021届秋招Java架构面试总结。包含:🐂客面经问题按照频率总结、Java基础,集合、JVM、多线程、数据库、分布式、微服务、技术面试等(持续更新)
LeetCode刷题记录与面试整理
高效的协同过滤算法实现——推荐系统
使用机器学习算法的电影推荐系统以及票房预测系统
MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。
UserCF和ItemCF协同过滤推荐算法的实现
本项目使用两种算法来实现一个电影推荐系统,一个是CNN,另一个是矩阵分解的协同过滤。
基于知识图谱的推荐系统
Python package containing the tools necessary for radial basis function (RBF) applications
RBF layer for Keras
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Must-read papers on Recommender System.
在线考试系统,springboot+vue前后端分离的一个项目.
阿里移动推荐算法
微人事是一个前后端分离的人力资源管理系统,项目采用SpringBoot+Vue开发。
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
学之思在线考试系统 - mysql版,支持多种题型:选择题、多选题、判断题、填空题、解答题以及数学公式,包含PC端、小程序端,扩展性强,部署方便(集成部署、前后端分离部署、docker部署)、界面设计友好、代码结构清晰
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.