exterminatewho/awesome-tensorflow

Tensorflow - A curated list of resources dedicated to tensorflow http://tensorflow.org

Awesome Tensorflow

A curated list of awesome tensorflow experiments, libraries, and projects. Inspired by awesome-machine-learning.

If you want to contribute to this list (please do), send me a pull request or contact me @jtoy Also, when you noticed that listed repository should be deprecated.

• Repository's owner explicitly say that "this library is not maintained".
• Not committed for long time (2~3 years).

For a list of free machine learning books available for download, go here.

Table of Contents

• Java
  • Natural Language Processing
  • General-Purpose Machine Learning
  • Data Analysis / Data Visualization
  • Deep Learning
• Javascript
  • Natural Language Processing
  • Data Analysis / Data Visualization
  • General-Purpose Machine Learning
  • Misc
• Julia
  • General-Purpose Machine Learning
  • Natural Language Processing
  • Data Analysis / Data Visualization
  • Misc Stuff / Presentations

## C #### General-Purpose Machine Learning * [Recommender](https://github.com/GHamrouni/Recommender) - A C library for product recommendations/suggestions using collaborative filtering (CF). #### Computer Vision

• CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
• VLFeat - VLFeat is an open and portable library of computer vision algorithms, which has Matlab toolbox

#### General-Purpose Machine Learning

• Swift AI - Highly optimized artificial intelligence and machine learning library written in Swift.
• BrainCore - The iOS and OS X neural network framework
• swix - A bare bones library that includes a general matrix language and wraps some OpenCV for iOS development.
• DeepLearningKit an Open Source Deep Learning Framework for Apple’s iOS, OS X and tvOS. It currently allows using deep convolutional neural network models trained in Caffe on Apple operating systems.

## Credits

• Some of the python libraries were cut-and-pasted from vinta
• The few go reference I found where pulled from this page