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Awesome TensorFlow

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

Here you can see meta information about this topic like the time we last updated this page, the original creator of the awesome list and a link to the original GitHub repository.

Last Update: Dec. 1, 2020, 3:14 a.m.

Thank you jtoy & contributors
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Tutorials

From the basics to slightly more interesting applications of Tensorflow

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Simple tutorials using Google's TensorFlow Framework

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TensorFlow Tutorials with YouTube Videos

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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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TensorFlow Tutorials

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The codes I made while I practiced various TensorFlow examples

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TensorFlow for Raspberry Pi

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Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

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Single Image Random Dot Stereogram for Tensorflow

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Simple and ready-to-use tutorials for TensorFlow

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TensorFlow tutorials and best practices.

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

A conceptual overview of the Estimator API, when you'd use it and why.

Convolutional Neural Networks in Tensorflow, offered by Coursera

Models/Projects

A best practice for tensorflow project template architecture.

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TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

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TensorFlow Implementation of "Show, Attend and Tell"

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TensorFlow (Python API) implementation of Neural Style

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

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Pretty Tensor: Fluent Networks in TensorFlow

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Neural style in TensorFlow! 🎨

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This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).

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Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation

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Implementation of "A Neural Algorithm of Artistic Style" by Tensorflow

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Generative Handwriting using LSTM Mixture Density Network with TensorFlow

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"Neural Turing Machine" in Tensorflow

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Search and filter videos based on objects that appear in them using convolutional neural networks

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Neural machine translation between the writings of Shakespeare and modern English using TensorFlow

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My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

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Chatbot in 200 lines of code using TensorLayer

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The Simplest DCGAN Implementation

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Generative Adversarial Text to Image Synthesis / Please Star -->

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Unsupervised Image to Image Translation with Generative Adversarial Networks

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Re-implement CycleGAN in Tensorlayer

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The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

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Neural Network to colorize grayscale images

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Tensorflow implementation of "Learning Deep Features for Discriminative Localization"

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Dynamic Capacity Networks using Tensorflow

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A tensorflow implementation of an HMM layer

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Train a deep learning net with OpenStreetMap features and satellite imagery.

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Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

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Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

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A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env

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reinfore learning tool box, contains trpo, a3c algorithm for continous action space

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Simple convolutional highway networks using TensorFlow.

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TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"

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Convolutional Neural Network for Text Classification in Tensorflow

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End-To-End Memory Network using Tensorflow

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in progress

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Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

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A TensorFlow implementation of DeepMind's WaveNet paper

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A TensorFlow implementation of the Mnemonic Descent Method.

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CNN visualization tool in TensorFlow

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Tensorflow Implementation of "Generating Videos with Scene Dynamics"

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Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

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U-Net Brain Tumor Segmentation

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Spatial Transformer Nets in TensorFlow/ TensorLayer

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

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Hierarchical Attentive Recurrent Tracking

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Project moved!

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A Tensorfflow implementation of Attend, Infer, Repeat

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Simple embedding based text classifier inspired by fastText, implemented in tensorflow

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

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Machine Learning Toolkit for Kubernetes

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High level network definitions with pre-trained weights in TensorFlow

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Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !

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🗺 General purpose U-Network implemented in Keras for image segmentation

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Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.

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Powered by TensorFlow

tensorflow implementation of 'YOLO : Real-Time Object Detection'

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Real-time object detection on Android using the YOLO network with TensorFlow

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Magenta: Music and Art Generation with Machine Intelligence

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Libraries

Lattice methods in TensorFlow

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tensorflow for ruby

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Deep learning library featuring a higher-level API for TensorFlow.

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Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

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Models and examples built with TensorFlow

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[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark

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Tensorforce: a TensorFlow library for applied reinforcement learning

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TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

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Caffe models in TensorFlow

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Run Keras models in the browser, with GPU support using WebGL

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TensorFlow-based neural network library

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A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

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A Framework for Encrypted Machine Learning in TensorFlow

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PyTorch to Keras model convertor

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Gluon to Keras deep neural network model converter

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StellarGraph - Machine Learning on Graphs

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Tensorflow/Keras Plug-N-Play Deep Learning Models Compilation

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

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

Minimal, modular deep learning library for TensorFlow and Theano

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

Tools/Utilities

🛠 All-in-one web-based IDE specialized for machine learning and data science.

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Task runner and package manager for TensorFlow

Videos

A guide to installation and use

Continuation of first video

A guide going over basic usage

Basic steps to install TensorFlow for free on the Cloud 9 online service with 1Gb of data

Pycon 2016 Portland Oregon, Slide & Code by Julia Ferraioli, Amy Unruh, Eli Bixby

Papers

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

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

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)

Official announcements

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

Blog posts

Goes over the implementation 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

semantic segmentation and handling the TFRecord file format.

Introduces TensorFlow optimizations on Intel® Xeon® and Intel® Xeon Phi™ processor-based platforms based on an Intel/Google collaboration.

Coca-Cola's product code image recognizing neural network with user input feedback loop.

How Does The Machine Learning Library TensorFlow Work?

Community

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.

by Jordi Torres, professor at UPC Barcelona Tech and a research manager and senior advisor at Barcelona Supercomputing Center

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

Complete guide to use TensorFlow from the basics of graph computing, to deep learning models to using it in production environments - Bleeding Edge Press

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

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).

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.

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

Credits

A curated list of awesome Python frameworks, libraries, software and resources

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