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 Tutorial 3

These tutorials are intended for beginners in Deep Learning and TensorFlow with well-documented code and YouTube videos.

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

Getting Started with TensorFlow on Android

Build your first TensorFlow Android app

Predict time series

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

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 - Syllabus - Unofficial Videos

TensorFlow World

Concise and ready-to-use TensorFlow tutorials with detailed documentation are provided.

Effective Tensorflow

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

TensorLayer

Modular implementation for TensorFlow's official tutorials. (CN).

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. (Api docs)

Tensorflow-Project-Template

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

Domain Transfer Network

Implementation of Unsupervised Cross-Domain Image Generation

Show, Attend and Tell

Attention Based Image Caption Generator

Neural Style

Implementation of Neural Style

SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Pretty Tensor

Pretty Tensor provides a high level builder API

Neural Style

An implementation of neural style

AlexNet3D

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

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 vice-versa.

Chatbot

Implementation of "A neural conversational model"

Seq2seq-Chatbot

Chatbot in 200 lines of code

DCGAN

Deep Convolutional Generative Adversarial Networks

GAN-CLS

Generative Adversarial Text to Image Synthesis

im2im

Unsupervised Image to Image Translation with Generative Adversarial Networks

Improved CycleGAN

Unpaired Image to Image Translation

DAGAN

Fast Compressed Sensing MRI Reconstruction

Colornet - Neural Network to colorize grayscale images

Neural Network to colorize grayscale images

Neural Caption Generator

Implementation of "Show and Tell"

Weakly_detector

Implementation of "Learning Deep Features for Discriminative Localization"

Dynamic Capacity Networks

Implementation of "Dynamic Capacity Networks"

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

Policy Gradient

For Playing Atari Ping Pong

DAGGER

For Playing Gym Torcs

TRPO

For Continuous and Discrete Action Space by

Highway Network

TensorFlow implementation of "Training Very Deep Networks" with a blog post

Hierarchical Attention Networks

TensorFlow implementation of "Hierarchical Attention Networks for Document Classification"

Sentence Classification with CNN

TensorFlow implementation of "Convolutional Neural Networks for Sentence Classification" with a blog post

End-To-End Memory Networks

Implementation of End-To-End Memory Networks

Character-Aware Neural Language Models

TensorFlow implementation of Character-Aware Neural Language Models

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.

Mnemonic Descent Method

Tensorflow implementation of "Mnemonic Descent Method: A recurrent process applied for end-to-end face alignment"

CNN visualization using Tensorflow

Tensorflow implementation of "Visualizing and Understanding Convolutional Networks"

VGAN Tensorflow

Tensorflow implementation for MIT "Generating Videos with Scene Dynamics" by Vondrick et al.

3D Convolutional Neural Networks in TensorFlow

Implementation of "3D Convolutional Neural Networks for Speaker Verification application" in TensorFlow by Torfi et al.

U-Net

For Brain Tumor Segmentation

Spatial Transformer Networks

Learn the Transformation Function

Lip Reading - Cross Audio-Visual Recognition using 3D Architectures in TensorFlow

TensorFlow Implementation of "Cross Audio-Visual Recognition in the Wild Using Deep Learning" by Torfi et al.

Attentive Object Tracking

Implementation of "Hierarchical Attentive Recurrent Tracking"

Holographic Embeddings for Graph Completion and Link Prediction

Implementation of Holographic Embeddings of Knowledge Graphs

Unsupervised Object Counting

Implementation of "Attend, Infer, Repeat"

Tensorflow FastText

A simple embedding based text classifier inspired by Facebook's fastText.

MusicGenreClassification

Classify music genre from a 10 second sound stream using a Neural Network.

Kubeflow

Framework for easily using Tensorflow with Kubernetes.

TensorNets

40+ Popular Computer Vision Models With Pre-trained Weights.

Ladder Network

Implementation of Ladder Network for Semi-Supervised Learning in Keras and Tensorflow

TF-Unet

General purpose U-Network implemented in Keras for image segmentation

Sarus TF2 Models

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.; API reference).

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

TensorFlow Estimators

high-level TensorFlow API that greatly simplifies machine learning programming (originally tensorflow/skflow)

R Interface to TensorFlow

R interface to TensorFlow APIs, including Estimators, Keras, Datasets, etc.

Lattice

Implementation of Monotonic Calibrated Interpolated Look-Up Tables in TensorFlow

tensorflow.rb

TensorFlow native interface for ruby using SWIG

tflearn

Deep learning library featuring a higher-level API

TensorLayer

Deep learning and reinforcement learning library for researchers and engineers

TensorFlow-Slim

High-level library for defining models

TensorFrames

TensorFlow binding for Apache Spark

TensorForce

TensorForce: A TensorFlow library for applied reinforcement learning

TensorFlowOnSpark

initiative from Yahoo! to enable distributed TensorFlow with Apache Spark.

caffe-tensorflow

Convert Caffe models to TensorFlow format

keras

Minimal, modular deep learning library for TensorFlow and Theano

keras-js

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

NNFlow

Simple framework allowing to read-in ROOT NTuples by converting them to a Numpy array and then use them in Google Tensorflow.

Sonnet

Sonnet is DeepMind's library built on top of TensorFlow for building complex neural networks.

tensorpack

Neural Network Toolbox on TensorFlow focusing on training speed and on large datasets.

tf-encrypted

Layer on top of TensorFlow for doing machine learning on encrypted data

pytorch2keras

Convert PyTorch models to Keras (with TensorFlow backend) format

gluon2keras

Convert Gluon models to Keras (with TensorFlow backend) format

TensorIO

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

StellarGraph

Machine Learning on Graphs, a Python library for machine learning on graph-structured (network-structured) data.

DeepBay

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

Tensorflow-Probability

Probabilistic programming built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware.

TensorLayerX

TensorLayerX: A Unified Deep Learning Framework for All Hardwares, Backends and OS, including TensorFlow.

Txeo

A modern C++ wrapper for TensorFlow.

Speedster

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

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

Project builder command line tool for Tensorflow covering environment management, linting, and logging.

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

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, Slide & Code 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

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

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 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)

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.

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?

Stack Overflow

@TensorFlow on Twitter

Reddit

Mailing List

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…

Deep Learning using TensorLayer

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

by Cameron Davidson-Pilon. Introduction to Bayesian methods and probabilistic graphical models using tensorflow-probability (and, alternatively PyMC2/3).