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TensorFlow - A curated list of dedicated resources http://tensorflow.org
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From the basics to slightly more interesting applications of Tensorflow
Simple tutorials using Google's TensorFlow Framework
TensorFlow Tutorials with YouTube Videos
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
The codes I made while I practiced various TensorFlow examples
TensorFlow for Raspberry Pi
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
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Single Image Random Dot Stereogram for Tensorflow
Simple and ready-to-use tutorials for TensorFlow
TensorFlow tutorials and best practices.
Build your first TensorFlow Android app
Modular implementation for TensorFlow's official tutorials. (CN).
A conceptual overview of the Estimator API, when you'd use it and why.
A best practice for tensorflow project template architecture.
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
TensorFlow Implementation of "Show, Attend and Tell"
TensorFlow (Python API) implementation of Neural Style
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Pretty Tensor: Fluent Networks in TensorFlow
Neural style in TensorFlow! 🎨
This is implementation of AlexNet(2012) with 3D Convolution on TensorFlow (AlexNet 3D).
Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation
Implementation of "A Neural Algorithm of Artistic Style" by Tensorflow
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
"Neural Turing Machine" in Tensorflow
Search and filter videos based on objects that appear in them using convolutional neural networks
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
Chatbot in 200 lines of code using TensorLayer
The Simplest DCGAN Implementation
Generative Adversarial Text to Image Synthesis / Please Star -->
Unsupervised Image to Image Translation with Generative Adversarial Networks
Re-implement CycleGAN in Tensorlayer
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
Neural Network to colorize grayscale images
Tensorflow implementation of "Learning Deep Features for Discriminative Localization"
Dynamic Capacity Networks using Tensorflow
A tensorflow implementation of an HMM layer
Train a deep learning net with OpenStreetMap features and satellite imagery.
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
reinfore learning tool box, contains trpo, a3c algorithm for continous action space
Simple convolutional highway networks using TensorFlow.
TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"
Convolutional Neural Network for Text Classification in Tensorflow
End-To-End Memory Network using Tensorflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
A TensorFlow implementation of DeepMind's WaveNet paper
A TensorFlow implementation of the Mnemonic Descent Method.
CNN visualization tool in TensorFlow
Tensorflow Implementation of "Generating Videos with Scene Dynamics"
Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
U-Net Brain Tumor Segmentation
Spatial Transformer Nets in TensorFlow/ TensorLayer
Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Hierarchical Attentive Recurrent Tracking
A Tensorfflow implementation of Attend, Infer, Repeat
Simple embedding based text classifier inspired by fastText, implemented in tensorflow
Classify music genre from a 10 second sound stream using a Neural Network.
Machine Learning Toolkit for Kubernetes
High level network definitions with pre-trained weights in TensorFlow
Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !
🗺 General purpose U-Network implemented in Keras for image segmentation
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.
Powered by TensorFlow
tensorflow implementation of 'YOLO : Real-Time Object Detection'
Real-time object detection on Android using the YOLO network with TensorFlow
Magenta: Music and Art Generation with Machine Intelligence
Lattice methods in TensorFlow
tensorflow for ruby
Deep learning library featuring a higher-level API for TensorFlow.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Models and examples built with TensorFlow
[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark
Tensorforce: a TensorFlow library for applied reinforcement learning
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Caffe models in TensorFlow
Run Keras models in the browser, with GPU support using WebGL
TensorFlow-based neural network library
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
A Framework for Encrypted Machine Learning in TensorFlow
PyTorch to Keras model convertor
Gluon to Keras deep neural network model converter
StellarGraph - Machine Learning on Graphs
Tensorflow/Keras Plug-N-Play Deep Learning Models Compilation
high-level TensorFlow API that greatly simplifies machine learning programming (originally tensorflow/skflow)
R interface to TensorFlow APIs, including Estimators, Keras, Datasets, etc.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Basic steps to install TensorFlow for free on the Cloud 9 online service with 1Gb of data
CS224d Deep Learning for Natural Language Processing by Richard Socher
Spark Summit 2016 Keynote by Jeff Dean
by Martin Görner
by Martin Görner
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 models behind SyntaxNet.
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)
An introduction to TensorFlow
Release of SyntaxNet, "an open-source neural network framework implemented in TensorFlow that provides a foundation for Natural Language Understanding systems.
Goes over the implementation of TensorFlow
Key Features Illustrated
Understanding the Internals of TensorFlow Learn Estimators
A survey of six months rapid evolution (+ tips/hacks and code to fix the ugly stuff), Dan Kuster at Indico, May 9, 2016
Step-by-step guide with full code examples on GitHub.
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.
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.