Alternatives and similar repositories for admmlrspark

Users that are interested in admmlrspark are comparing it to the libraries listed below

• dieterichlawson / admm
  ADMM on Apache Spark
  ☆31Updated 10 years ago
• yixuan / ADMM-Spark
  Implementation of ADMM algorithm on Apache Spark
  ☆25Updated 9 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 10 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• zygmuntz / kaggle-blackbox
  Deep learning made easy
  ☆116Updated 11 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆68Updated 8 years ago
• jamesrobertlloyd / automl-phase-2
  1st place submission to the AutoML competition - phase 2
  ☆28Updated 10 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 10 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• davharris / mcmc-tutorial
  Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo
  ☆52Updated 12 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 11 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• amirsaffari / online-multiclass-lpboost
  Online Multi-Class LPBoost and Gradient Boosting
  ☆68Updated 10 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 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 7 years ago
• zellyn / deeplearning-class-2011
  Code for Deep Learning class at Google
  ☆73Updated 14 years ago
• springcoil / TutorialPyMCRugby
  My Tutorial for PyData London
  ☆25Updated 10 years ago
• ptoulis / implicit-sgd
  Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.
  ☆16Updated 11 years ago
• gwulfs / Bastien-Theano-Workshop
  ☆44Updated 10 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆25Updated 9 years ago
• zfz / spark-cs190.1x
  Assignments of CS190.1x, Scalable Machine Learning
  ☆18Updated 10 years ago
• claesenm / EnsembleSVM
  A Library for Ensemble Learning Using Support Vector Machines
  ☆106Updated 11 years ago
• rezazadeh / spark
  Mirror of Apache Spark
  ☆24Updated 10 years ago
• n17s / fest
  Fast Ensembles of Sparse Trees
  ☆38Updated 9 years ago
• ogrisel / spylearn
  Repo for experiments on pyspark and sklearn
  ☆79Updated 11 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆37Updated 2 years ago
• mbeissinger / intro_deep
  Introduction tutorials to deep learning with Theano and OpenDeep
  ☆51Updated 9 years ago
• kuleshov / tensor-factorization
  Tensor Factorization via Matrix Factorization
  ☆34Updated 9 years ago
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 9 years ago
• Far0n / kaggle-lmgpip
  Top15 Solution for Kaggle-Competition "Liberty Mutual Group: Property Inspection Prediction"
  ☆50Updated 10 years ago