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yuzhaofeng's Projects

bookstore icon bookstore

使用Django编写一个书城电商网站，配合详细的教程。

deepcf icon deepcf

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

deepctr-torch icon deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

jstarcraft-rns icon jstarcraft-rns

专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,是最快最全的Java推荐与搜索引擎.

monitor icon monitor

A face recognition monitor system based on Django and Keras

mxonline2 icon mxonline2

基于慕课网bobby老师的Django在线教育网站平台的搭建

neuralcf icon neuralcf

A fork from https://github.com/hexiangnan/neural_collaborative_filtering. Change keras version to v2.1.3, and use tensorflow as the backend.

project_blog icon project_blog

基于 Django2.1 和 Bootstrap框架开发的个人博客网站

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

recommender-system-datasets icon recommender-system-datasets

A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.

recommondation-system icon recommondation-system

一些传统推荐算法的实现，包括基于内容的推荐，协同过滤，矩阵分解

recsys2019_deeplearning_evaluation icon recsys2019_deeplearning_evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

rspapers icon rspapers

Must-read papers on Recommender System.

stanford-cs-229-cn icon stanford-cs-229-cn

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

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