Alternatives and similar repositories for mwt-ds-explore

Users that are interested in mwt-ds-explore are comparing it to the libraries listed below

• sigopt / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆66Updated 10 years ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 7 years ago
• soumith / nextml
  ☆35Updated 10 years ago
• cnel / itl-ae
  Information Theoretic Learning Auto-encoders
  ☆58Updated 9 years ago
• mortehu / text-classifier
  Creates models to classify documents into categories
  ☆66Updated 8 years ago
• botev / metadiff
  ☆11Updated 9 years ago
• HIPS / Kayak
  Kayak is a library for automatic differentiation with applications to deep neural networks.
  ☆228Updated 8 years ago
• probcomp / crosscat
  A domain-general, Bayesian method for analyzing high-dimensional data tables
  ☆327Updated last year
• ajtulloch / sklearn-compiledtrees
  Compiled Decision Trees for scikit-learn
  ☆228Updated 5 months ago
• xdata-skylark / libskylark
  Sketching-based Distributed Matrix Computations for Machine Learning
  ☆100Updated 7 years ago
• mokelly / wabbit_wappa
  Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.
  ☆101Updated 7 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆41Updated 9 years ago
• capitalk / treelearn
  Ensembles and Tree Learning Algorithms for Python
  ☆52Updated 12 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• dukestats / gpustats
  Library for GPU-related statistical functions
  ☆84Updated 12 years ago
• dementrock / tensorfuse
  Common interface for Theano, CGT, and TensorFlow
  ☆238Updated 9 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆142Updated 8 years ago
• spartan-array / spartan
  Distributed Numpy
  ☆148Updated 7 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 9 years ago
• zhangyuc / splash
  Splash Project for parallel stochastic learning
  ☆94Updated 8 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 10 years ago
• DoctorTeeth / diffmem
  Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)
  ☆221Updated 9 years ago
• 222464 / pyhtfe
  Python bindings to HTFE
  ☆33Updated 10 years ago
• fgerzer / apsis
  ☆25Updated 3 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
• sigopt / sigopt-examples
  Optimization Examples with SigOpt
  ☆201Updated last year
• pmineiro / randembed
  Randomized embeddings for extreme learning
  ☆24Updated 9 years ago
• ogrisel / spylearn
  Repo for experiments on pyspark and sklearn
  ☆79Updated 11 years ago