Alternatives and similar repositories for DemoNeuralNet:

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

• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆60Updated 2 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 8 years ago
• ben519 / mltools
  Exploratory and diagnostic machine learning tools for R
  ☆72Updated 3 years ago
• zatonovo / deep_learning_ex
  Deep learning examples
  ☆13Updated 8 years ago
• AmeliaMN / DS_for_S
  Materials for March 12 ENAR short course on Data Science for Statisticians
  ☆47Updated 8 years ago
• tobigithub / caret-machine-learning
  Practical examples for the R caret machine learning package
  ☆68Updated 8 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
• edgararuiz-zz / bigdatalondon2018
  Materials from the Data Science with Spark and R
  ☆21Updated 6 years ago
• stoltzmaniac / Medicare
  ☆18Updated 7 years ago
• andland / libFMexe
  libFM R package
  ☆26Updated 8 years ago
• tomaztk / SLODUG2017
  SLODUG2017
  ☆9Updated 6 years ago
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 8 years ago
• juliasilge / intro_to_shiny
  Introduction to Shiny workshop for satRday conference
  ☆25Updated 8 years ago
• ColinFay / conf
  Slides from various conferences
  ☆48Updated 6 years ago
• AlexIoannides / pipeliner
  Machine learning pipelines for R.
  ☆66Updated 8 years ago
• rstudio / tfdeploy
  tfdeploy: Deploy Tensorflow Models from R
  ☆23Updated 3 years ago
• mine-cetinkaya-rundel / teach-data-science
  Materials for the Teaching Data Science workshop at JSM 2019
  ☆21Updated 5 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 7 years ago
• dgrtwo / splittestr
  Functions for Bayesian A/B Testing Post
  ☆24Updated 2 years ago
• mljar / mljar-api-R
  R wrapper for MLJAR API
  ☆16Updated 5 years ago
• robjhyndman / Half-day-forecasting-workshop
  Forecasting workshop for ACEMS 2018
  ☆37Updated 6 years ago
• surajvv12 / 17_Classification
  17 Classification Algorithms using R
  ☆56Updated 9 years ago
• rdpeng / daprocedures
  ☆41Updated 6 years ago
• WhyR2019 / presentations
  ☆22Updated 5 years ago
• mlr-org / mlrCPO
  Composable Preprocessing Operators for MLR
  ☆37Updated last year
• pachadotdev / rick_and_morty_tidy_text
  ☆16Updated 7 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
• bwilbertz / RLightGBM
  R Interface for LightGBM
  ☆47Updated 7 years ago
• Laurae2 / lgbdl
  LightGBM Online Installer [ devtools::install_github("Laurae2/lgbdl") ]
  ☆16Updated 6 years ago
• hadley / clusterfly
  An R package for visualising high-dimensional clustering algorithms
  ☆16Updated 10 years ago