tensorflow-in-depth

和 awesome-tensorflow 不同, tensorflow-in-depth 偏向于收集那些关注tensorflow以及类似的机器学习/深度学习框架底层实现原理、架构的资料，而不是关注如何使用的资料。

Tutorials

TensorLayer - Modular implementation for TensorFlow's official tutorials. (CN).
Tensorflow Architecture 官网Tensorflow架构介绍，需要拓展Tensorflow API或者优化Tensorflow性能的人可以阅读这篇文档.
MPI Tutorial MPI相关的Tutorial.

TensorFlow White Paper Notes - Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation
Deep-Q learning Pong with TensorFlow and PyGame
GoogleNet Convolutional Neural Network Groups Movie Scenes By Setting - Search, filter, and describe videos based on objects, places, and other things that appear in them
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow - This performs a monolingual translation, going from modern English to Shakespeare and vice-versa.

TensorFlow on YouTube - TensorFlow在YouTube的主页，里面如TensorFlow Dev Summit 2018，Coding TensorFlow 值得关注.
Designing and Building Applications for Extreme Scale Systems - 大规模系统高性能计算的一个课程，介绍了许多重要的概念.

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems - This paper describes the TensorFlow interface and an implementation of that interface that we have built at Google
TF.Learn: TensorFlow's High-level Module for Distributed Machine Learning
Comparative Study of Deep Learning Software Frameworks - 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
Distributed TensorFlow with MPI - In this paper, we extend recently proposed Google TensorFlow for execution on large scale clusters using Message Passing Interface (MPI)
Globally Normalized Transition-Based Neural Networks - This paper describes the models behind SyntaxNet.
TensorFlow: A system for large-scale machine learning - This paper describes the TensorFlow dataflow model in contrast to existing systems and demonstrate the compelling performance
TensorLayer: A Versatile Library for Efficient Deep Learning Development - This paper describes a versatile Python library that aims at helping researchers and engineers efficiently develop deep learning systems. (Winner of The Best Open Source Software Award of ACM MM 2017)
Scaling Distributed Machine Learning with the Parameter Server - How parameter server works, proposed a parameter server framework for distributed machine learning problems.

图解tensorflow源码 - TensorFlow图解分析, 导读源码和架构.
Tensorflow源码解析 - 先介绍了TensorFlow的核心概念和基本概述, 然后从源码剖析了TensorFlow的一些模块.
TensorFlow - Not Just For Deep Learning 来自YuanTang的博客, YuanTang是tensorflow、MXNet、XGBoost等项目的committer.
How Does The TensorFlow Work - TensorFlow如何运作？
A tour through the TensorFlow codebase - TensorFlow源码概览.
An Introduction to TensorFlow architecture - tensorflow架构原理简介
Autodiff Workshop - 2017年的Workshop, gradient-based machine learning技术，有不少slides值得看.