Alternatives and similar repositories for CUDA-MLlib:

Users that are interested in CUDA-MLlib are comparing it to the libraries listed below

• intel-spark / SparseML
  Spark MLlib code optimized to efficiently support sparse data
  ☆50Updated 8 years ago
• collectivemedia / modelmatrix
  Sparse feature extraction with Spark
  ☆29Updated 6 years ago
• fabuzaid21 / yggdrasil
  Yggdrasil: Faster Decision Trees Using Column Partitioning in Spark
  ☆31Updated 6 years ago
• MLnick / glint-fm
  Factorization Machines on Spark and Glint
  ☆25Updated 8 years ago
• amplab / ml-matrix
  Distributed Matrix Library
  ☆70Updated 7 years ago
• avulanov / scala-blas
  Benchmarks of BLAS libraries with Scala interface
  ☆30Updated 8 years ago
• BIDData / BIDMach_Spark
  Code to allow running BIDMach on Spark including HDFS integration and lightweight sparse model updates (Kylix).
  ☆15Updated 4 years ago
• zhangyuc / splash
  Splash Project for parallel stochastic learning
  ☆94Updated 7 years ago
• mengxr / spark-als
  Another, hopefully better, implementation of ALS on Spark
  ☆14Updated 9 years ago
• AtlasPilotPuppy / SparkAlgorithms
  Additional useful algorithms that can be used with spark.
  ☆24Updated 10 years ago
• IBMSparkGPU / SparkGPU
  GPU* or SPARK* branches are used for generating GPU code in Tungsten/concact:@kiszk, MLlib branch is used for CUDA-MLlib project/concact:…
  ☆48Updated 7 years ago
• collectivemedia / celos
  Scriptable scheduler for periodical Hadoop workflows
  ☆22Updated 6 years ago
• scalanlp / junto
  This toolkit provides an implementation of Modified Adsorption (MAD), a graph-based semi-supervised learning (SSL) algorithm.
  ☆23Updated 7 years ago
• aria42 / nlp-utils
  NLP Utilities in Java
  ☆43Updated 2 years ago
• vicpara / exploratory-data-analysis
  Spark library for doing exploratory data analysis in a scalable way
  ☆43Updated 9 years ago
• adobe-research / spark-gpu
  GPU Acceleration for Apache Spark
  ☆34Updated 9 years ago
• Sotera / correlation-approximation
  Spark implementation of the Google Correlate algorithm to quickly find highly correlated vectors in huge datasets
  ☆92Updated 8 years ago
• logicalclocks / hops-tensorflow
  HopsYARN Tensorflow Framework.
  ☆32Updated 5 years ago
• trustedanalytics / atk
  analytics tool kit
  ☆43Updated 7 years ago
• FurongHuang / spectrallda-tensorspark
  Quick summary: This code implements a spectral (third order tensor decomposition) learning method for learning LDA topic model on Spark.
  ☆105Updated 6 years ago
• radanalyticsio / silex
  something to help you spark
  ☆65Updated 6 years ago
• AlpineNow / SparkML2
  ☆21Updated 8 years ago
• FlytxtRnD / GMM
  Gaussian Mixture Model Implementation in Pyspark
  ☆32Updated 10 years ago
• mvogiatzis / freq-count
  Lossy Counting and Sticky Sampling implementation for efficient frequency counts on data streams.
  ☆62Updated 8 years ago
• rjagerman / glintlda
  Scalable Distributed LDA implementation for Spark & Glint
  ☆28Updated 8 years ago
• petro-rudenko / spark-glove
  Global Vectors for Word Representation on spark
  ☆35Updated 10 years ago