awesome-keras

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★ 18 Open GitHub ↗

An awesome keras related package collection

// repository documentation

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# Awesome-Keras

![](https://camo.githubusercontent.com/1997c7e760b163a61aba3a2c98f21be8c524be29/68747470733a2f2f617765736f6d652e72652f62616467652e737667)

## Goal

Keras is a pretty awesome tool for deep learning.

This repo aims for collecting awesome Keras resources togather.

## How to Contribute

1. fork this project.
2. Add your resources by pull request.

## Keras Cheatsheet

+ [Keras Cheatsheet-en](https://github.com/harryprince/cheatsheets/blob/master/keras.pdf)
+ [Keras Cheatsheet-cn: Keras 与深度学习备忘单](https://github.com/harryprince/cheatsheets/raw/master/translations/chinese/keras-cheatsheet_zh_CN.pdf)
+ [Python in RStudio Cheatsheet](https://media.licdn.com/dms/document/C4D1FAQG-Cqo_xexAhg/feedshare-document-pdf-analyzed/0?e=1556683200&v=beta&t=cPZjElGb8BpxN0lNIXI7rz_LlQtRc4mz8G4lZK9zrZ4)
+ [randomForestExplainer Cheatsheet](https://github.com/MI2DataLab/randomForestExplainer/raw/master/materials/cheatsheet.pdf)

### Data Pipeline

+ [sparktf: R interface to Spark TensorFlow Connector](https://github.com/rstudio/sparktf)
+ [tfdatasets: R interface to TensorFlow Datasets API](https://github.com/rstudio/tfdatasets)

### Model Creator

+ [KerasModelCreator: Visually design Keras models for R language.](https://github.com/jcrodriguez1989/KerasModelCreator)

### Model Training

+ [tfruns: Track, Visualize, and Manage TensorFlow Training Runs](https://github.com/rstudio/tfruns)
![](https://tensorflow.rstudio.com/tools/tfruns/articles/images/ls_runs_compare.png)

### Model Deploy

+ [tfdeploy: Deploy Tensorflow Models from R ](https://github.com/rstudio/tfdeploy)
![](https://tensorflow.rstudio.com/tools/tfdeploy/articles/images/swagger.png)

### Bayes

+ [greta: simple and scalable statistical modelling in R](https://github.com/greta-dev/greta)
+ [tfprobability: R interface to TensorFlow Probability](https://github.com/rstudio/tfprobability)

### Auto ML

+ [autokeras: R interface to Auto-Keras](https://github.com/jcrodriguez1989/autokeras)

### Cloud ML

+ [cloudml: R interface to Google Cloud Machine Learning Engine](https://github.com/rstudio/cloudml)

### Model Visualization

+ [keras-vis: Neural network visualization toolkit for keras](https://github.com/raghakot/keras-vis)
+ [quiver: Interactive convnet features visualization for Keras](https://github.com/keplr-io/quiver)

![](https://raw.githubusercontent.com/raghakot/keras-vis/master/images/conv_vis/cover.jpg?raw=true)
![](https://cloud.githubusercontent.com/assets/5866348/20253975/f3d56f14-a9e4-11e6-9693-9873a18df5d3.gif)

### Estimator

+ [tfestimators: R interface to TensorFlow Estimators](https://github.com/rstudio/tfestimators)

![](https://tensorflow.rstudio.com/tfestimators/articles/images/tensorflow-architecture.png)

### Model Explaination

+ [xgb2sql: Convert trained XGBoost model object in R to SQL script](https://github.com/chengjunhou/xgb2sql)
+ [tidypredict: Run predictions inside the database](https://github.com/tidymodels/tidypredict)
+ [modeldb: Run models inside a database using R](https://github.com/tidymodels/modeldb)
+ [lime: Local Interpretable Model-Agnostic Explanations (R port of original Python package)](https://github.com/thomasp85/lime)

## Applications

### Remote Sensing

+ [sits: Satellite image time series in R](https://github.com/e-sensing/sits)

## Keras Blogs

+ [Auto-Keras: Tuning-free deep learning from R](https://github.com/jcrodriguez1989/tf_blog_autokeras/blob/master/autokeras.Rmd)
+ [Tensorflow Blog](https://github.com/rstudio/tensorflow-blog)
+ [An Introduction to Greta](https://rviews.rstudio.com/2018/04/23/on-first-meeting-greta/)

## Keras Talks

awesome-keras

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