Alternatives and similar repositories for CNTK-R

Users that are interested in CNTK-R are comparing it to the libraries listed below

• philferriere / mscstexta4r
  R Client for the Microsoft Cognitive Services Text Analytics REST API
  ☆24Updated 8 years ago
• joseph-rickert / Data_Insights_Summit
  This repository contains the course materials for the tutorial "Supercharge Your data Analysis with R"
  ☆22Updated 9 years ago
• rstudio / tfestimators
  R interface to TensorFlow Estimators
  ☆58Updated 3 years ago
• stoltzmaniac / Medicare
  ☆18Updated 7 years ago
• microsoft / AzureSMR
  AzureSMR is no longer being actively developed. For ongoing support of Azure in R, see: https://github.com/Azure/AzureR
  ☆60Updated 5 years ago
• GoranMilovanovic / Distributional-Semantics-in-R
  Tutorial on text-mining and distributional semantics with {tm}, {openNLP}, and {topicmodels} in R. Based on my BelgradeR Meetup - Methods…
  ☆20Updated 8 years ago
• mljar / mljar-api-R
  R wrapper for MLJAR API
  ☆16Updated 5 years ago
• mananshah99 / sentR
  Simple sentiment analysis framework for R
  ☆32Updated 8 years ago
• rdrr1990 / kerasformula
  A high-level interface to keras for R that takes advantage of formulas
  ☆50Updated 6 years ago
• edgararuiz-zz / bigdatalondon2018
  Materials from the Data Science with Spark and R
  ☆21Updated 6 years ago
• michhar / useR2016-tutorial-jupyter
  R for Reproducible Research tutorial
  ☆28Updated 7 years ago
• rstudio / graphframes
  R Interface for GraphFrames
  ☆37Updated 3 years ago
• IBM / using-tensorflow-with-r
  using tensorflow with r
  ☆25Updated 5 years ago
• tidymodels / model-implementation-principles
  recommendations for creating R modeling packages
  ☆41Updated 3 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 7 years ago
• rstudio / tfdeploy
  tfdeploy: Deploy Tensorflow Models from R
  ☆23Updated 3 years ago
• mlampros / textTinyR
  Text Processing for Small or Big Data Files in R
  ☆39Updated last year
• saraswatmks / superml
  Build machine learning models in R like using python's scikit-learn library
  ☆33Updated last year
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 8 years ago
• redichh / ShapleyR
  Package for a nice and smoothe usage of the shapley value for mlr
  ☆26Updated 6 years ago
• revodavid / RMLops
  MLOps with R and Azure Pipelines
  ☆39Updated 4 years ago
• WinVector / BigDataRStrata2017
  All material for "Modeling big data with R, sparklyr, and Apache Spark" Strata Hadoop 2017.
  ☆63Updated 4 years ago
• juliasilge / intro_to_shiny
  Introduction to Shiny workshop for satRday conference
  ☆25Updated 8 years ago
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 8 years ago
• WhyR2019 / presentations
  ☆22Updated 5 years ago
• topepo / DC-ML-2018
  Materials for the Applied Machine Learning Workshop in Washington DC
  ☆29Updated 6 years ago
• AlexIoannides / pipeliner
  Machine learning pipelines for R.
  ☆67Updated 8 years ago
• unDocUMeantIt / koRpus
  An R Package for Text Analysis
  ☆45Updated 2 years ago
• trinker / stansent
  ☆16Updated 3 years ago
• ecpolley / SuperLearnerExtra
  Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…
  ☆20Updated last year