Alternatives and similar repositories for h2oEnsemble-benchmarks

Users that are interested in h2oEnsemble-benchmarks are comparing it to the libraries listed below

• WinVector / ExploreModels
  Code and data for "The Geometry of Classifiers"
  ☆26Updated 5 years ago
• woobe / deepr
  An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
  ☆45Updated 10 years ago
• szilard / xgboost-adv-workshop-LA
  Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016
  ☆26Updated 8 years ago
• xsankar / deepLearnR
  R interface to Tensorflow via skflow
  ☆18Updated 9 years ago
• zachmayer / rbm
  Restricted Boltzmann Machines in R
  ☆36Updated 4 years ago
• johnmyleswhite / r_recommendation_system
  Data and code for the Dataists R recommendation system contest
  ☆75Updated 14 years ago
• CODAIT / r4ml
  Scalable R for Machine Learning
  ☆43Updated 6 years ago
• abhishekmalali / h2o-hyperopt
  Library for integrated use of H2O with Hyperopt
  ☆13Updated last year
• maddin79 / darch
  Create deep architectures in the R programming language
  ☆71Updated 7 years ago
• aloysius-lim / bigrf
  Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
  ☆91Updated 9 years ago
• h2oai / Deep-Learning-with-h2o-in-R
  Deep neural networks on over 50 classification problems from the UC Irvine Machine Learning Repository
  ☆25Updated 9 years ago
• ptoulis / implicit-sgd
  Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.
  ☆16Updated 10 years ago
• mewo2 / medley
  A system for blending regression models in R
  ☆75Updated 12 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• szilard / GBM-multicore
  GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
  ☆20Updated 7 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• jwijffels / RMOA
  Connect R to MOA for massive online data stream mining
  ☆37Updated 2 years ago
• wlattner / SciPy_2016
  Python and R: Writing Cross Language Tools (SciPy 2016 Talk)
  ☆20Updated 9 years ago
• szilard / teach-data-science-msc-analytics-ceu
  Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central Europe…
  ☆33Updated 7 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 2 years ago
• yanyachen / rFTRLProximal
  FTRL-Proximal Online Learning Algorithm
  ☆15Updated 8 years ago
• alzmcr / axa
  Kaggle's AXA Driver Telematics Analysis
  ☆11Updated 10 years ago
• jhofman / msd2015
  Modeling Social Data, Applied Mathematics, Columbia University (Spring 2015)
  ☆33Updated 5 years ago
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 8 years ago
• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 8 years ago
• kapelner / ICEbox
  An R package for better visualizing a statistical learning model
  ☆35Updated 2 years ago
• szilard / GBM-tune
  Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions
  ☆21Updated 7 years ago
• philipus / Simple-FTRL-in-R
  Simple ftrl implementation in R for the AVAZU CTR Competition in R
  ☆13Updated 10 years ago
• klarsen1 / Information
  Information Package
  ☆44Updated 9 years ago
• hlin09 / spark
  Mirror of Apache Spark (With R Frontend on Spark Streaming)
  ☆11Updated 10 years ago