jtoy/awesome-tensorflow

 jtoy / awesome-tensorflow

jtoy / awesome-tensorflow

 
 

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

 README

Awesome TensorFlow Awesome

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

What is TensorFlow?

TensorFlow is an open source software library for numerical computation using data flow graphs. In other words, the best way to build deep learning models.

More info here.

Table of Contents

Tutorials

Models/Projects

Powered by TensorFlow

  • YOLO TensorFlow - Implementation of 'YOLO : Real-Time Object Detection'
  • android-yolo - Real-time object detection on Android using the YOLO network, powered by TensorFlow.
  • Magenta - Research project to advance the state of the art in machine intelligence for music and art generation

Libraries

Videos

Papers

Official announcements

Blog posts

Community

Books

  • First Contact with TensorFlow by Jordi Torres, professor at UPC Barcelona Tech and a research manager and senior advisor at Barcelona Supercomputing Center
  • Deep Learning with Python - Develop Deep Learning Models on Theano and TensorFlow Using Keras by Jason Brownlee
  • TensorFlow for Machine Intelligence - Complete guide to use TensorFlow from the basics of graph computing, to deep learning models to using it in production environments - Bleeding Edge Press
  • Getting Started with TensorFlow - Get up and running with the latest numerical computing library by Google and dive deeper into your data, by Giancarlo Zaccone
  • Hands-On Machine Learning with Scikit-Learn and TensorFlow – by Aurélien Geron, former lead of the YouTube video classification team. Covers ML fundamentals, training and deploying deep nets across multiple servers and GPUs using TensorFlow, the latest CNN, RNN and Autoencoder architectures, and Reinforcement Learning (Deep Q).
  • Building Machine Learning Projects with Tensorflow – by Rodolfo Bonnin. This book covers various projects in TensorFlow that expose what can be done with TensorFlow in different scenarios. The book provides projects on training models, machine learning, deep learning, and working with various neural networks. Each project is an engaging and insightful exercise that will teach you how to use TensorFlow and show you how layers of data can be explored by working with Tensors.

Contributions

Your contributions are always welcome!

If you want to contribute to this list (please do), send me a pull request or contact me@jtoy Also, if you notice that any of the above listed repositories should be deprecated, due to any of the following reasons:

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

More info on the guidelines

Credits