chensul Goto Github PK

gc-mc

google-access-helper

谷歌访问助手破解版

hello-world

My hello-world with GitHub

jmars

Jointly Modelling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS)

jrl

Joint Representation Learning for Recommendation

k-nearest-neighbors-with-dynamic-time-warping

Python implementation of KNN and DTW classification algorithm

keras-0.3.3

This is a old version of keras (0.3.3) for ConvMF forked from fchollet/keras

knn-based-recomender-system

lambdamart-mf

factorizing lambdamart for cold start recommendations

ldagibbssampling

Open Source Package for Gibbs Sampling of LDA

learn-python3

Learn Python 3 Sample Code

learning-to-rank-from-implicit-feedback

librec

LibRec: A Leading Java Library for Recommender Systems, see

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

list_of_recommender_systems

A List of Recommender Systems and Resources

listrank-mf

A Java implementation of ListRank-MF mentioned in List-wise Learning to Rank ith Matrix Factorization for Collaborative Filtering

miniapp-toutiao

🍭🔥🔥 微信小程序-仿今日头条

mymedialite

recommender system library for the CLR (.NET)

netflix_als

Simple Alternating Least Squares (ALS) recommender implementation for the Netflix dataset

neural-net-matrix-factorization

Exploring neural networks for collaborative filtering.

neurec

Implementation of NeuRec (IJCAI 2018)

nudtpaper

A LaTeX template for Master/PhD Thesis of NUDT

orange3-recommendation

🍊 :thumbsdown: Add-on for Orange3 to support recommender systems.

phdmf

This is a new deep learning model for recommender system, which we called PHD

ppcf

PPCF: Privacy-Preserving Collaborative Filtering for Web Service Recommendation

probabilistic-matrix-factorization

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

pymmmf

Maximum-Margin Matrix Factorization in Python

pyrec_v7

pyRec_v7

recommender_system_adaptive_knn

recommendersystem-paper

This repository includes some papers that I have read or which I think may be very interesting.