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集合主题趋势排行榜
#

svdplusplus

Website
Wikipedia
https://static.github-zh.com/github_avatars/WindQAQ?size=40
WindQAQ / tf-recsys

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

Tensorflowrecommender-systemcollaborative-filteringsvdsvdplusplus
Python 94
5 年前
https://static.github-zh.com/github_avatars/WindQAQ?size=40
WindQAQ / ML2017

#计算机科学#NTUEE Machine Learning, 2017 Spring

ntu机器学习linear-regressionlogistic-regressiongradient-boosting-machinesvdplusplusdimensionality-reductionsentiment-classificationmulti-label-classificationkaggle-competitionsvdrecommendation-system
Python 32
8 年前
https://static.github-zh.com/github_avatars/Praful932?size=40
Praful932 / Tf-Rec

#计算机科学#Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

svdsvdplusplusTensorflowKeras机器学习深度学习recommender-systemrecommendation-systemPythonpython-librarymatrix-factorization
Python 18
3 年前
https://static.github-zh.com/github_avatars/shervinee?size=40
shervinee / Amazon_recSys

#计算机科学#An Analogous experiment to Netflix Challenege on Amazon DataSet for three popular and efficient approaches

svdplusplusrecommender-systemPython机器学习
Python 2
8 年前
https://static.github-zh.com/github_avatars/jjkindergarten?size=40
jjkindergarten / recommendaer_system

recommender-systemsvdplusplussvdcollaborative-filtering
Python 2
6 年前
https://static.github-zh.com/github_avatars/jaceyca?size=40
jaceyca / Netflix-Recommendations

#计算机科学#A project in machine learning based on the completed Netflix competition

机器学习restricted-boltzmann-machinek-nearest-neighborssvdsvdplusplus
C++ 0
7 年前