# awesome-tensorflow

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

^{[Embed]}

**17k**stars

**936**watching

**3k**forks

**6 months ago**

Linked from 10 awesome lists

## Awesome TensorFlow / Tutorials | |||

From the basics to slightly more interesting applications of TensorFlow | |||

TensorFlow Tutorial 2 | 6,000 | about 1 year ago | Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of Newmu's Theano |

TensorFlow Tutorial 3 | 9,272 | over 3 years ago | These tutorials are intended for beginners in Deep Learning and TensorFlow with well-documented code and YouTube videos |

TensorFlow Examples | 43,376 | 2 months ago | TensorFlow tutorials and code examples for beginners |

Sungjoon's TensorFlow-101 | 2,602 | over 4 years ago | TensorFlow tutorials written in Python with Jupyter Notebook |

Terry Um’s TensorFlow Exercises | 618 | over 5 years ago | Re-create the codes from other TensorFlow examples |

Installing TensorFlow on Raspberry Pi 3 | 2,243 | almost 6 years ago | TensorFlow compiled and running properly on the Raspberry Pi |

Classification on time series | 3,332 | almost 2 years ago | Recurrent Neural Network classification in TensorFlow with LSTM on cellphone sensor data |

Getting Started with TensorFlow on Android | Build your first TensorFlow Android app | ||

Predict time series | 1,082 | over 1 year ago | Learn to use a seq2seq model on simple datasets as an introduction to the vast array of possibilities that this architecture offers |

Single Image Random Dot Stereograms | 6 | almost 4 years ago | SIRDS is a means to present 3D data in a 2D image. It allows for scientific data display of a waterfall type plot with no hidden lines due to perspective |

CS20 SI: TensorFlow for DeepLearning Research | Stanford Course about Tensorflow from 2017 - - | ||

TensorFlow World | 4,523 | almost 4 years ago | Concise and ready-to-use TensorFlow tutorials with detailed documentation are provided |

Effective Tensorflow | 8,620 | almost 4 years ago | TensorFlow howtos and best practices. Covers the basics as well as advanced topics |

TensorLayer | Modular implementation for TensorFlow's official tutorials. ( ) | ||

Understanding The Tensorflow Estimator API | A conceptual overview of the Estimator API, when you'd use it and why | ||

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning | Introduction to Tensorflow offered by Coursera | ||

Convolutional Neural Networks in TensorFlow | Convolutional Neural Networks in Tensorflow, offered by Coursera | ||

TensorLayerX | Using TensorFlow like PyTorch. ( ) | ||

## Awesome TensorFlow / Models/Projects | |||

A simple and well-designed template for your tensorflow project | |||

Domain Transfer Network | 861 | over 6 years ago | Implementation of Unsupervised Cross-Domain Image Generation |

Show, Attend and Tell | 909 | about 6 years ago | Attention Based Image Caption Generator |

Neural Style | 3,108 | almost 4 years ago | Implementation of Neural Style |

SRGAN | 3,289 | 8 months ago | Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network |

Pretty Tensor | 1,236 | over 4 years ago | Pretty Tensor provides a high level builder API |

Neural Style | 5,538 | over 1 year ago | An implementation of neural style |

AlexNet3D | 43 | over 6 years ago | An implementations of AlexNet3D. Simple AlexNet model but with 3D convolutional layers (conv3d) |

TensorFlow White Paper Notes | 439 | almost 6 years ago | Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation |

NeuralArt | 496 | almost 2 years ago | Implementation of A Neural Algorithm of Artistic Style |

Generative Handwriting Demo using TensorFlow | 699 | over 6 years ago | An attempt to implement the random handwriting generation portion of Alex Graves' paper |

Neural Turing Machine in TensorFlow | 1,046 | over 7 years ago | implementation of Neural Turing Machine |

GoogleNet Convolutional Neural Network Groups Movie Scenes By Setting | 358 | over 8 years ago | 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 | 250 | almost 2 years ago | This performs a monolingual translation, going from modern English to Shakespeare and vice-versa |

Chatbot | 2,931 | almost 2 years ago | Implementation of |

Seq2seq-Chatbot | 837 | almost 3 years ago | Chatbot in 200 lines of code |

DCGAN | 339 | over 1 year ago | Deep Convolutional Generative Adversarial Networks |

GAN-CLS | 598 | over 3 years ago | -Generative Adversarial Text to Image Synthesis |

im2im | 73 | about 4 years ago | Unsupervised Image to Image Translation with Generative Adversarial Networks |

Improved CycleGAN | 89 | about 6 years ago | Unpaired Image to Image Translation |

DAGAN | 174 | about 5 years ago | Fast Compressed Sensing MRI Reconstruction |

Colornet - Neural Network to colorize grayscale images | 3,561 | over 4 years ago | Neural Network to colorize grayscale images |

Neural Caption Generator | 506 | almost 5 years ago | Implementation of |

Neural Caption Generator with Attention | 506 | almost 5 years ago | Implementation of |

Weakly_detector | 361 | about 7 years ago | Implementation of |

Dynamic Capacity Networks | 9 | over 8 years ago | Implementation of |

HMM in TensorFlow | 287 | over 6 years ago | Implementation of viterbi and forward/backward algorithms for HMM |

DeepOSM | 1,320 | over 7 years ago | Train TensorFlow neural nets with OpenStreetMap features and satellite imagery |

DQN-tensorflow | 2,473 | over 5 years ago | TensorFlow implementation of DeepMind's 'Human-Level Control through Deep Reinforcement Learning' with OpenAI Gym by Devsisters.com |

Policy Gradient | 7,327 | over 1 year ago | For Playing Atari Ping Pong |

Deep Q-Network | 7,327 | over 1 year ago | For Playing Frozen Lake Game |

AC | 7,327 | over 1 year ago | Actor Critic for Playing Discrete Action space Game (Cartpole) |

A3C | 7,327 | over 1 year ago | Asynchronous Advantage Actor Critic (A3C) for Continuous Action Space (Bipedal Walker) |

DAGGER | 71 | about 7 years ago | For Playing |

TRPO | 43 | over 6 years ago | For Continuous and Discrete Action Space by |

Highway Network | 57 | about 8 years ago | TensorFlow implementation of with a |

Hierarchical Attention Networks | 86 | over 5 years ago | TensorFlow implementation of |

Sentence Classification with CNN | 5,639 | 6 months ago | TensorFlow implementation of with a |

End-To-End Memory Networks | 341 | over 7 years ago | Implementation of |

Character-Aware Neural Language Models | 761 | about 6 years ago | TensorFlow implementation of |

YOLO TensorFlow ++ | 6,130 | 12 months ago | TensorFlow implementation of 'YOLO: Real-Time Object Detection', with training and an actual support for real-time running on mobile devices |

Wavenet | 5,408 | about 1 year ago | This is a TensorFlow implementation of the for audio generation |

Mnemonic Descent Method | 124 | over 2 years ago | Tensorflow implementation of |

CNN visualization using Tensorflow | 781 | over 5 years ago | Tensorflow implementation of |

VGAN Tensorflow | 15 | over 6 years ago | Tensorflow implementation for MIT by Vondrick et al |

3D Convolutional Neural Networks in TensorFlow | 779 | over 4 years ago | Implementation of in TensorFlow by Torfi et al |

U-Net | 499 | about 5 years ago | For Brain Tumor Segmentation |

Spatial Transformer Networks | 35 | over 5 years ago | Learn the Transformation Function |

Lip Reading - Cross Audio-Visual Recognition using 3D Architectures in TensorFlow | 1,823 | almost 2 years ago | TensorFlow Implementation of by Torfi et al |

Attentive Object Tracking | 146 | about 6 years ago | Implementation of |

Holographic Embeddings for Graph Completion and Link Prediction | 0 | almost 7 years ago | Implementation of |

Unsupervised Object Counting | 82 | almost 6 years ago | Implementation of |

Tensorflow FastText | 302 | about 6 years ago | A simple embedding based text classifier inspired by Facebook's fastText |

MusicGenreClassification | 558 | over 4 years ago | Classify music genre from a 10 second sound stream using a Neural Network |

Kubeflow | 14,228 | 11 days ago | Framework for easily using Tensorflow with Kubernetes |

TensorNets | 1,003 | almost 4 years ago | 40+ Popular Computer Vision Models With Pre-trained Weights |

Ladder Network | 101 | over 3 years ago | Implementation of Ladder Network for Semi-Supervised Learning in Keras and Tensorflow |

TF-Unet | 2 | almost 5 years ago | General purpose U-Network implemented in Keras for image segmentation |

Sarus TF2 Models | 37 | about 3 years ago | A long list of recent generative models implemented in clean, easy to reuse, Tensorflow 2 code (Plain Autoencoder, VAE, VQ-VAE, PixelCNN, Gated PixelCNN, PixelCNN++, PixelSNAIL, Conditional Neural Processes) |

Model Maker | A transfer learning library that simplifies the process of training, evaluation and deployment for TensorFlow Lite models (support: Image Classification, Object Detection, Text Classification, BERT Question Answer, Audio Classification, Recommendation etc.; ) | ||

## Awesome TensorFlow / Powered by TensorFlow | |||

Implementation of 'YOLO : Real-Time Object Detection' | |||

android-yolo | 664 | almost 2 years ago | Real-time object detection on Android using the YOLO network, powered by TensorFlow |

Magenta | 19,109 | 2 months ago | Research project to advance the state of the art in machine intelligence for music and art generation |

## Awesome TensorFlow / Libraries | |||

high-level TensorFlow API that greatly simplifies machine learning programming (originally ) | |||

R Interface to TensorFlow | R interface to TensorFlow APIs, including Estimators, Keras, Datasets, etc | ||

Lattice | 518 | 2 months ago | Implementation of Monotonic Calibrated Interpolated Look-Up Tables in TensorFlow |

tensorflow.rb | 827 | over 2 years ago | TensorFlow native interface for ruby using SWIG |

tflearn | 9,618 | 5 months ago | Deep learning library featuring a higher-level API |

TensorLayer | 7,327 | over 1 year ago | Deep learning and reinforcement learning library for researchers and engineers |

TensorFlow-Slim | 76,987 | 1 day ago | High-level library for defining models |

TensorFrames | 749 | 2 months ago | TensorFlow binding for Apache Spark |

TensorForce | 3,297 | 2 months ago | TensorForce: A TensorFlow library for applied reinforcement learning |

TensorFlowOnSpark | 3,872 | about 1 year ago | initiative from Yahoo! to enable distributed TensorFlow with Apache Spark |

caffe-tensorflow | 2,796 | about 5 years ago | Convert Caffe models to TensorFlow format |

keras | Minimal, modular deep learning library for TensorFlow and Theano | ||

SyntaxNet: Neural Models of Syntax | 76,987 | 1 day ago | A TensorFlow implementation of the models described in |

keras-js | 4,957 | over 2 years ago | Run Keras models (tensorflow backend) in the browser, with GPU support |

NNFlow | 7 | over 3 years ago | Simple framework allowing to read-in ROOT NTuples by converting them to a Numpy array and then use them in Google Tensorflow |

Sonnet | 9,758 | 3 days ago | Sonnet is DeepMind's library built on top of TensorFlow for building complex neural networks |

tensorpack | 6,296 | about 1 year ago | Neural Network Toolbox on TensorFlow focusing on training speed and on large datasets |

tf-encrypted | 3 | over 2 years ago | Layer on top of TensorFlow for doing machine learning on encrypted data |

pytorch2keras | 858 | almost 2 years ago | Convert PyTorch models to Keras (with TensorFlow backend) format |

gluon2keras | 0 | almost 6 years ago | Convert Gluon models to Keras (with TensorFlow backend) format |

TensorIO | Lightweight, cross-platform library for deploying TensorFlow Lite models to mobile devices | ||

StellarGraph | 2,936 | 6 months ago | Machine Learning on Graphs, a Python library for machine learning on graph-structured (network-structured) data |

DeepBay | 4 | almost 5 years ago | High-Level Keras Complement for implement common architectures stacks, served as easy to use plug-n-play modules |

Tensorflow-Probability | Probabalistic programming built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware | ||

TensorLayerX | 537 | 27 days ago | TensorLayerX: A Unified Deep Learning Framework for All Hardwares, Backends and OS, including TensorFlow |

## Awesome TensorFlow / Tools/Utilities | |||

Automatically apply SOTA optimization techniques to achieve the maximum inference speed-up on your hardware | |||

Guild AI | Task runner and package manager for TensorFlow | ||

ML Workspace | 3,405 | 2 months ago | All-in-one web IDE for machine learning and data science. Combines Tensorflow, Jupyter, VS Code, Tensorboard, and many other tools/libraries into one Docker image |

create-tf-app | 4 | almost 2 years ago | Project builder command line tool for Tensorflow covering environment management, linting, and logging |

## Awesome TensorFlow / Videos | |||

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 | ||

Why Google wants everyone to have access to TensorFlow | |||

Videos from TensorFlow Silicon Valley Meet Up 1/19/2016 | |||

Videos from TensorFlow Silicon Valley Meet Up 1/21/2016 | |||

Stanford CS224d Lecture 7 - Introduction to TensorFlow, 19th Apr 2016 | CS224d Deep Learning for Natural Language Processing by Richard Socher | ||

Diving into Machine Learning through TensorFlow | Pycon 2016 Portland Oregon, & by Julia Ferraioli, Amy Unruh, Eli Bixby | ||

Large Scale Deep Learning with TensorFlow | Spark Summit 2016 Keynote by Jeff Dean | ||

Tensorflow and deep learning - without at PhD | by Martin Görner | ||

Tensorflow and deep learning - without at PhD, Part 2 (Google Cloud Next '17) | by Martin Görner | ||

Image recognition in Go using TensorFlow | by Alex Pliutau | ||

## Awesome TensorFlow / Papers | |||

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

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks | |||

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 | ||

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) | ||

## Awesome TensorFlow / Official announcements | |||

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 | ||

## Awesome TensorFlow / Blog posts | |||

Official Tensorflow Blog | |||

Why TensorFlow will change the Game for AI | |||

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 | ||

TensorFlow - Not Just For Deep Learning | |||

The indico Machine Learning Team's take on TensorFlow | |||

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 | ||

RNNs In TensorFlow, A Practical Guide And Undocumented Features | Step-by-step guide with full code examples on GitHub | ||

Using TensorBoard to Visualize Image Classification Retraining in TensorFlow | |||

TFRecords Guide | semantic segmentation and handling the TFRecord file format | ||

TensorFlow Android Guide | Android TensorFlow Machine Learning Example | ||

TensorFlow Optimizations on Modern Intel® Architecture | Introduces TensorFlow optimizations on Intel® Xeon® and Intel® Xeon Phi™ processor-based platforms based on an Intel/Google collaboration | ||

Coca-Cola's Image Recognition App | Coca-Cola's product code image recognizing neural network with user input feedback loop | ||

How Does The TensorFlow Work | How Does The Machine Learning Library TensorFlow Work? | ||

## Awesome TensorFlow / Community | |||

@TensorFlow on Twitter | |||

Mailing List | |||

## Awesome TensorFlow / Books | |||

by Nishant Shukla, computer vision researcher at UCLA and author of Haskell Data Analysis Cookbook. This book makes the math-heavy topic of ML approachable and practicle to a newcomer | |||

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 | ||

Deep Learning using TensorLayer | by Hao Dong et al. This book covers both deep learning and the implmentation by using TensorFlow and TensorLayer | ||

TensorFlow 2.0 in Action | by Thushan Ganegedara. This practical guide to building deep learning models with the new features of TensorFlow 2.0 is filled with engaging projects, simple language, and coverage of the latest algorithms | ||

Probabilistic Programming and Bayesian Methods for Hackers | 26,703 | 3 months ago | by Cameron Davidson-Pilon. Introduction to Bayesian methods and probabalistic graphical models using tensorflow-probability (and, alternatively PyMC2/3) |

## Awesome TensorFlow / Credits | |||

Some of the python libraries were cut-and-pasted from | |||

this page | The few go reference I found where pulled from |