Matrix Hadoop Tutorial Alternatives

A set of tutorial codes about matrix methods in Hadoop
Suggest Alternative
Alternatives To dgleich/matrix-hadoop-tutorial
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
twitter/scalding 3,433 37 40 almost 3 years ago 43 September 14, 2016 319 apache-2.0 Scala
A Scala API for Cascading
scalding-io/ProgrammingWithScalding 81 0 0 over 10 years ago 0 2 other Scala
Programming MapReduce with Scalding
tinylcy/RecommendationEngine 37 0 0 about 8 years ago 0 0 mit Java
[Deprecated] An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis
dgleich/matrix-hadoop-tutorial 31 0 0 about 13 years ago 0 0 Python
A set of tutorial codes about matrix methods in Hadoop
alexbeutel/FlexiFaCT 18 0 0 over 8 years ago 0 1 Java
Run large scale tensor and coupled matrix-tensor factorization on top of stock Hadoop.
dgleich/mrtsqr 18 0 0 about 14 years ago 0 0 Python
MapReduce Streaming TSQR Implementation
marufaytekin/MatrixMultiply 13 0 0 about 4 years ago 0 0 Java
Sparse matrix multiplication for hadoop
huangyueranbbc/RecommendByItemcf 11 0 0 over 7 years ago 0 1 Java
Hadoop mapreduce. 基于ItemCF的协同过滤 物品推荐系统 Collaborative filtering goods recommendation system based on ItemCF
asarraf/Algorithm-Implementation-Using-Map-Reduce 8 0 0 almost 9 years ago 0 0 mit Java
Page Rank, Inverted Index and Matrix Multiplication
blackruan/recommender-system 8 0 0 over 9 years ago 0 0 Java
movie recommender system based on Item CF
Alternatives To dgleich/matrix-hadoop-tutorial
Select To Compare


Alternative Project Comparisons
Popular Hadoop Projects
Popular Matrix Projects
Popular Data Processing Categories
Related Searches
Get A Weekly Email With Trending Projects
No Spam. Unsubscribe easily at any time.
Privacy | About | Terms | Follow Us On Twitter

Downloads, Dependent Repos, Dependent Packages, Total Releases, Latest Releases data powered by Libraries.io.

Copyright 2018-2026 Awesome Open Source.  All rights reserved.