Watch 暌违/时间序列数据集 forked from 周壮/时间序列数据集

Watch 暌违/RSPapers

Must-read papers on Recommender System.

Watch 暌违/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

Watch 暌违/MovieRecommendation

UserCF和ItemCF协同过滤推荐算法的实现

Watch 暌违/Amazon-Product-Recommender-System

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Watch 暌违/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.

Watch 暌违/tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

Watch 暌违/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.

Watch 暌违/cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

Watch 暌违/neural_collaborative_filtering

Neural Collaborative Filtering