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agriculture_knowledgegraph

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

competitive-recsys

A collection of resources for Recommender Systems (RecSys)

djangoblog

🍺基于Django的博客系统

hello-world

new beginning

kgqa_hlm

基于知识图谱的《红楼梦》人物关系可视化及问答系统

kmeans-movie-ratings

Clustering of Movie Ratings using KMeans Algorithm

knowledge_representation_pytorch

Several knowledge graph representation algorithms implemented with pytorch

kprn

Reasoning Over Knowledge Graph Paths for Recommendation

movietaster-open

A practical movie recommend project based on Item2vec.

musictaster

一种song2vec、artist2vec的实践

netflix-movie-recommendation-system

A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.

nlp-text-mining-working-examples

Full working examples with accompanying dataset for Text Mining and NLP. Current code base: Gensim Word2Vec, Phrase Embeddings, Keyword Extraction with TF-IDF and SKlearn, Word Count with PySpark

opencv-python-series

An OpenCV & Python Tutorial Series and Reference.

openke

An Open-Source Package for Knowledge Embedding (KE)

pandas_exercises

Practice your pandas skills!

python

All Algorithms implemented in Python

recommend-lib

fair comparison for recommender system benchmarks

recommend-movies

This is a movie recommender system built on django using the K-means clustering algorithm.It suggests movies that the user must watch next based on what movies similar users have liked.

recommendation-system-with-hadoop

Item-based and user-based recommendation system implemented with Hadoop

recommendersystem-dataset

This repository contains some datasets that I have collected in Recommender Systems.

recommendersystems

rsalgorithms

Some algorithms about traditional and social recommendation.

rspapers

Must-read papers on Recommender System.

scikit-kge

Python library to compute knowledge graph embeddings

tutorials

机器学习相关教程