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
Powered by TensorFlow
TensorFlow Tutorial 1 - From the basics to slightly more interesting applications of TensorFlow
TensorFlow Tutorial 2 - Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of Newmu's Theano
TensorFlow Examples - TensorFlow tutorials and code examples for beginners
Sungjoon's TensorFlow-101 - TensorFlow tutorials written in Python with Jupyter Notebook
Terry Um’s TensorFlow Exercises - Re-create the codes from other TensorFlow examples
Installing TensorFlow on Raspberry Pi 3 - TensorFlow compiled and running properly on the Raspberry Pi
Classification on time series - Recurrent Neural Network classification in Tensorflow with LSTM on cellphone sensor data
Show, Attend and Tell - Attention Based Image Caption Generator
Pretty Tensor - Pretty Tensor provides a high level builder API
Neural Style - An implementation of neural style
TensorFlow White Paper Notes - Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation
NeuralArt - Implementation of A Neural Algorithm of Artistic Style
Generative Handwriting Demo using TensorFlow - An attempt to implement the random handwriting generation portion of Alex Graves' paper
Neural Turing Machine in TensorFlow - implementation of Neural Turing Machine
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 vis-versa.
Chatbot - Implementation of "A neural conversational model"
Colornet - Neural Network to colorize grayscale images - Neural Network to colorize grayscale images
Weakly_detector - Implementation of "Learning Deep Features for Discriminative Localization"
HMM in TensorFlow - Implementation of viterbi and forward/backward algorithms for HMM
DeepOSM - Train TensorFlow neural nets with OpenStreetMap features and satellite imagery.
DQN-tensorflow - Tensorflow implementation of DeepMind's 'Human-Level Control through Deep Reinforcement Learning' with OpenAI Gym by Devsisters.com
Sentence Classification with CNN - Tensorflow implementation of "Convolutional Neural Networks for Sentence Classification" with a blog post
YOLO Tensorflow ++ - Tensorflow implementation of 'YOLO: Real-Time Object Detection', with training and an actual support for real-time running on mobile devices.
Wavenet - This is a TensorFlow implementation of the WaveNet generative neural network architecture for audio generation.
Powered by TensorFlow
YOLO TensorFlow - Implementation of 'YOLO : Real-Time Object Detection'
Magenta - Research project to advance the state of the art in machine intelligence for music and art generation
Scikit Flow (TF Learn) - Simplified interface for Deep/Machine Learning (now part of TensorFlow)
tensorflow.rb - TensorFlow native interface for ruby using SWIG
tflearn - Deep learning library featuring a higher-level API
TensorFlow-Slim - High-level library for defining models
TensorFrames - TensorFlow binding for Apache Spark
caffe-tensorflow - Convert Caffe models to TensorFlow format
keras - Minimal, modular deep learning library for TensorFlow and Theano
SyntaxNet: Neural Models of Syntax - A TensorFlow implementation of the models described in Globally Normalized Transition-Based Neural Networks, Andor et al. (2016)
TensorFlow Guide 1 - A guide to installation and use
TensorFlow Guide 2 - Continuation of first video
TensorFlow Basic Usage - A guide going over basic usage
TensorFlow Deep MNIST for Experts - Goes over Deep MNIST
TensorFlow Udacity Deep Learning - Basic steps to install TensorFlow for free on the Cloud 9 online service with 1Gb of data
Stanford CS224d Lecture 7 - Introduction to TensorFlow, 19th Apr 2016 - CS224d Deep Learning for Natural Language Processing by Richard Socher
Large Scale Deep Learning with TensorFlow - Spark Summit 2016 Keynote by Jeff Dean
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
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 behindSyntaxNet.
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
TensorFlow: smarter machine learning, for everyone - An introduction to TensorFlow
Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source - Release of SyntaxNet, "an open-source neural network framework implemented in TensorFlow that provides a foundation for Natural Language Understanding systems.
TensorFlow for Poets - Goes over the implementation of TensorFlow
Introduction to Scikit Flow - Simplified Interface to TensorFlow - Key Features Illustrated
Building Machine Learning Estimator in TensorFlow - Understanding the Internals of TensorFlow Learn Estimators
The Good, Bad, & Ugly of TensorFlow - A survey of six months rapid evolution (+ tips/hacks and code to fix the ugly stuff), Dan Kuster at Indico, May 9, 2016
Fizz Buzz in TensorFlow - A joke by Joel Grus
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 environmemts - 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).
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 theguidelines