awesome-tensorflow

Implementation of

Asynchronous Advantage Actor Critic (A3C) for Continuous Action Space (Bipedal Walker)

Actor Critic for Playing Discrete Action space Game (Cartpole)

An implementations of AlexNet3D. Simple AlexNet model but with 3D convolutional layers (conv3d).

Implementation of

TensorFlow implementation of

Real-time object detection on Android using the YOLO network, powered by TensorFlow.

Research project to advance the state of the art in machine intelligence for music and art generation

Implementation of 'YOLO : Real-Time Object Detection'

Release of SyntaxNet, "an open-source neural network framework implemented in TensorFlow that provides a foundation for Natural Language Understanding systems.

An introduction to TensorFlow

Understanding the Internals of TensorFlow Learn Estimators

A joke by Joel Grus

Key Features Illustrated

by Hao Dong et al. This book covers both deep learning and the implementation by using TensorFlow and TensorLayer.

Develop Deep Learning Models on Theano and TensorFlow Using Keras by Jason Brownlee

Get up and running with the latest numerical computing library by Google and dive deeper into your data, by Giancarlo Zaccone

Convert Caffe models to TensorFlow format

High-Level Keras Complement for implement common architectures stacks, served as easy to use plug-n-play modules

Convert Gluon models to Keras (with TensorFlow backend) format

Minimal, modular deep learning library for TensorFlow and Theano

Run Keras models (tensorflow backend) in the browser, with GPU support

Implementation of Monotonic Calibrated Interpolated Look-Up Tables in TensorFlow

Recurrent Neural Network classification in TensorFlow with LSTM on cellphone sensor data

Convolutional Neural Networks in Tensorflow, offered by Coursera

TensorFlow howtos and best practices. Covers the basics as well as advanced topics.

Build your first TensorFlow Android app

TensorFlow compiled and running properly on the Raspberry Pi

The study is performed on several types of deep learning architectures and we evaluate the performance of the above frameworks when employed on a single machine for both (multi-threaded) CPU and GPU (Nvidia Titan X) settings

In this paper, we extend recently proposed Google TensorFlow for execution on large scale clusters using Message Passing Interface (MPI)

This paper describes the models behind

This paper describes the TensorFlow dataflow model in contrast to existing systems and demonstrate the compelling performance

This paper describes the TensorFlow interface and an implementation of that interface that we have built at Google