Alternatives and similar repositories for ExploreModels

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

• ledell / h2oEnsemble-benchmarks
  Benchmarks of the H2O Ensemble R interface (H2O 2.0).
  ☆14Updated 4 years ago
• INFO-474 / m7-d3-intro
  Module 7: Introduction to D3.js
  ☆21Updated 9 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
• abhishekmalali / h2o-hyperopt
  Library for integrated use of H2O with Hyperopt
  ☆13Updated last year
• woobe / deepr
  An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
  ☆46Updated 10 years ago
• aloysius-lim / bigrf
  Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
  ☆91Updated 10 years ago
• tonyfischetti / InteractiveLogisticRegression
  Interactive visualization of non-linear logistic regression decision boundaries
  ☆28Updated 11 years ago
• vkrakovna / sbfc
  Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…
  ☆16Updated 3 years ago
• nanxstats / sdml
  Supervised Distance Metric Learning with R
  ☆20Updated 6 years ago
• johnmyleswhite / r_recommendation_system
  Data and code for the Dataists R recommendation system contest
  ☆75Updated 14 years ago
• ramnathv / rNotebook
  A browser based R Notebook
  ☆125Updated 12 years ago
• vmirly / DataScience
  ☆66Updated 2 years ago
• sanealytics / recommenderlabrats
  Some recommendation algorithms and research
  ☆12Updated 9 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 8 years ago
• jwijffels / RMOA
  Connect R to MOA for massive online data stream mining
  ☆37Updated 3 years ago
• szilard / GBM-multicore
  GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
  ☆20Updated 7 years ago
• maddin79 / darch
  Create deep architectures in the R programming language
  ☆71Updated 7 years ago
• zachmayer / rbm
  Restricted Boltzmann Machines in R
  ☆36Updated 5 years ago
• davpinto / fastknn
  Fast k-Nearest Neighbors Classifier for Large Datasets
  ☆69Updated 8 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 8 years ago
• davharris / mcmc-tutorial
  Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo
  ☆52Updated 12 years ago
• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 8 years ago
• mewo2 / medley
  A system for blending regression models in R
  ☆76Updated 12 years ago
• h2oai / Deep-Learning-with-h2o-in-R
  Deep neural networks on over 50 classification problems from the UC Irvine Machine Learning Repository
  ☆26Updated 10 years ago
• xsankar / deepLearnR
  R interface to Tensorflow via skflow
  ☆18Updated 9 years ago
• timelyportfolio / TSclust_experiments
  experiments with the R package TSclust
  ☆11Updated 10 years ago
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆46Updated 8 years ago
• dselivanov / word_embeddings
  Experiments on english wikipedia. GloVe and word2vec.
  ☆13Updated 9 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 3 years ago