Alternatives and similar repositories for matrix-hadoop-tutorial

Users that are interested in matrix-hadoop-tutorial are comparing it to the libraries listed below

• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago
• snap-stanford / snapvx
  ☆66Updated 5 years ago
• fabianp / overview_optalgs
  ☆30Updated 5 years ago
• hardmaru / cma
  Fork of cma-es library by Nikolaus Hansen
  ☆12Updated 8 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago
• tbroderick / mlss2015_bnp_tutorial
  ☆24Updated 9 years ago
• npinto / asgd
  Averaged Stochastic Gradient Descent Classifiers
  ☆42Updated 13 years ago
• allentran / graph2vec
  Theano implementation of GloVe for graphs
  ☆47Updated 10 years ago
• mlberkeley / deep-learning-reading-group
  A public wiki for the deep learning reading group at UC Berkeley
  ☆27Updated 9 years ago
• claesenm / EnsembleSVM
  A Library for Ensemble Learning Using Support Vector Machines
  ☆106Updated 11 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 9 years ago
• facebookresearch / DeepConvexity
  Easing non-convex optimization with neural networks.
  ☆23Updated 7 years ago
• frank-hutter / fanova
  Functional ANOVA
  ☆28Updated 11 years ago
• arayabrain / RecurrentAutoencoder
  Sample code for generative recurrent autoencoders.
  ☆26Updated 9 years ago
• larsmans / pylbfgs
  Python/Cython wrapper for liblbfgs
  ☆46Updated 7 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆24Updated 7 years ago
• jaak-s / BayesianDataFusion.jl
  Bayesian multi-tensor factorization methods, with side information
  ☆29Updated 5 years ago
• mtomassoli / information-theory-tutorial
  ☆16Updated 9 years ago
• ChrisRackauckas / TBEEF
  TBEEF, a doubly ensemble framework for recommendation and prediction problems.
  ☆20Updated 9 years ago
• oxford-cs-ml-2015 / practical3
  Optimization and logistic regression
  ☆24Updated 8 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 8 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 9 years ago
• lmjohns3 / kohonen
  Kohonen vector quantizers (SOM, NG, GNG)
  ☆71Updated 7 years ago
• ethanhe42 / An-Analysis-of-Single-Layer-Networks-in-Unsupervised-Feature-Learning
  Implementation for: An Analysis of Single-Layer Networks in Unsupervised Feature Learning
  ☆18Updated 3 years ago
• chengsoonong / acton
  Active Learning: Predictors, Recommenders and Labellers
  ☆21Updated 3 years ago
• germank / compatibility-naacl2015
  Code for "So similar and yet incompatible: Toward the automated identification of semantically compatible words" in NAACL 2015 proceedi…
  ☆11Updated 10 years ago
• lvdmaaten / metriclearning
  Torch package for metric learning.
  ☆43Updated 8 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆67Updated 8 years ago
• oir / soft-tree
  Soft Decision Trees (code for ICPR 21 paper)
  ☆33Updated 11 years ago