Comprehensive List of Excellent TensorFlow Resources Across Six Themes

Comprehensive List of Excellent TensorFlow Resources Across Six Themes

TensorFlow is currently the hottest open-source project, widely used for numerical computation based on data flow graphs. As TensorFlow is widely applied, many derivative applications have emerged, and some believe that TensorFlow is the best way to build deep learning models today. This article compiles a list of excellent practices, libraries, and projects related to TensorFlow, covering six themes of outstanding resources.

Comprehensive List of Excellent TensorFlow Resources Across Six Themes

1. Tutorials

TensorFlow Tutorial 1

https://github.com/pkmital/tensorflow_tutorials

From basics to more interesting TensorFlow applications

TensorFlow Tutorial 2

https://github.com/nlintz/TensorFlow-Tutorials

An introduction to deep learning based on the Google TensorFlow framework, these tutorials are direct ports of Newmu’s Theano

TensorFlow Examples

https://github.com/aymericdamien/TensorFlow-Examples

Tutorials and code examples for beginners in TensorFlow

Sungjoon’s TensorFlow-101

https://github.com/sjchoi86/Tensorflow-101

TensorFlow tutorials written using Jupyter Notebook in Python

Terry Um’s TensorFlow Exercises

https://github.com/terryum/TensorFlow_Exercises

Recreating code from other TensorFlow examples

Installing TensorFlow on Raspberry Pi 3

https://github.com/samjabrahams/tensorflow-on-raspberry-pi

Compiling and running TensorFlow correctly on Raspberry Pi

Classification on time series

https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition

Using LSTM in TensorFlow to classify mobile sensor data with recurrent neural networks

2. Models/Projects

Show, Attend and Tell

https://github.com/yunjey/show_attend_and_tell

An image caption generator based on attention mechanism (the attention mechanism is one of the cutting-edge hotspots in deep learning, allowing focus on different parts of the input to provide a series of understanding)

Neural Style

https://github.com/cysmith/neural-style-tf

Implementation of Neural Style (Neural Style is an algorithm that allows machines to mimic the painting style of existing artworks to recreate an image)

Pretty Tensor

https://github.com/google/prettytensor

PrettyTensor provides a high-level builder API

Neural Style

https://github.com/anishathalye/neural-style

Implementation of Neural Style

TensorFlow White Paper Notes

https://github.com/samjabrahams/tensorflow-white-paper-notes

Annotated notes and summaries of the TensorFlow white paper, along with SVG graphics and document links

NeuralArt

https://github.com/ckmarkoh/neuralart_tensorflow

Implementation of the artistic style neural algorithm

Generative Handwriting Demo using TensorFlow

https://github.com/hardmaru/write-rnn-tensorflow

Attempting to implement the random handwriting generation part from Alex Graves’ paper

Neural Turing Machine in TensorFlow

https://github.com/carpedm20/NTM-tensorflow

Implementation of the Neural Turing Machine in TensorFlow

GoogleNet Convolutional Neural Network Groups Movie Scenes By Setting

https://github.com/agermanidis/thingscoop

Searching, filtering, and describing videos based on objects, locations, and other content displayed

Chatbot

https://github.com/Conchylicultor/DeepQA

Implementation of a

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