Alternatives and similar repositories for Image-Classifiaction-using-CNN-and-keras-in-R:

Users that are interested in Image-Classifiaction-using-CNN-and-keras-in-R are comparing it to the libraries listed below

• mkearney / googleapis
  R client for accessing Google Cloud Natural Language APIs
  ☆9Updated 7 years ago
• anishsingh20 / Statistical-Learning-using-R
  This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done b…
  ☆31Updated 6 years ago
• trinker / stansent
  ☆16Updated 3 years ago
• topepo / DC-ML-2018
  Materials for the Applied Machine Learning Workshop in Washington DC
  ☆29Updated 6 years ago
• pachadotdev / rick_and_morty_tidy_text
  ☆16Updated 7 years ago
• dipanjanS / MyShinyApps
  Shiny is a web application framework for R. This repo contains all the web apps developed by me using R and Shiny.
  ☆12Updated 10 years ago
• philferriere / mscstexta4r
  R Client for the Microsoft Cognitive Services Text Analytics REST API
  ☆24Updated 8 years ago
• edgararuiz-zz / bigdatalondon2018
  Materials from the Data Science with Spark and R
  ☆21Updated 6 years ago
• mljar / mljar-api-R
  R wrapper for MLJAR API
  ☆16Updated 5 years ago
• KKulma / 2018_eRum_TextClassification_workshop
  ☆19Updated 6 years ago
• cnaumzik / caffeR
  ☆38Updated 8 years ago
• rstudio / tfdeploy
  tfdeploy: Deploy Tensorflow Models from R
  ☆23Updated 3 years ago
• WLOGSolutions / retail-segmentation-based-marketing-campaing-in-r-and-h2o
  Showcase for using H2O and R for scoring for marketing campaign in retail
  ☆54Updated 6 years ago
• dselivanov / mlapi
  Machine learning in R that doesn’t suck
  ☆49Updated 7 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
• hrbrmstr / 2017-year-in-review
  Year in Review with R Rmd Template
  ☆34Updated 7 years ago
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 8 years ago
• nthun / face_reading_tools
  ☆10Updated 7 years ago
• bfgray3 / cattonum
  Encode Categorical Features (unmaintained)
  ☆32Updated 2 years ago
• juliasilge / ibm-ai-day
  Presentation for IBM Community Day AI
  ☆14Updated 6 years ago
• jjallaire / reproducible-finance-with-r
  ☆22Updated 4 years ago
• MangoTheCat / keras-workshop
  Data and scripts for keras course
  ☆43Updated 5 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
• juliasilge / intro_to_shiny
  Introduction to Shiny workshop for satRday conference
  ☆25Updated 8 years ago
• mkearney / stat
  Course website for JOURN 8016: Advanced Quantitative Research Methods
  ☆13Updated 6 years ago
• szilard / ML-scoring
  Compare the scoring speed of several open source machine learning libraries.
  ☆21Updated 7 years ago
• sol-eng / customer-tracker
  R data products: Reports, Presentations, Apps, and API's
  ☆21Updated 3 years ago
• ledell / sldm4-h2o
  Statistical Learning & Data Mining IV - H2O Presenation & Tutorial
  ☆26Updated 7 years ago
• ThinkR-open / prompt
  Dynamic prompt
  ☆28Updated 7 years ago
• ColinFay / conf
  Slides from various conferences
  ☆48Updated 6 years ago