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awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
https://github.com/sundapeng/awesome-tensorflow
- here
- 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 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
- Neural Style
- Pretty Tensor - Pretty Tensor provides a high level builder API
- Neural Style
- 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
- Deep-Q learning Pong with TensorFlow and PyGame
- 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
- 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 vis-versa.
- Chatbot - Implementation of ["A neural conversational model"](http://arxiv.org/abs/1506.05869)
- Neural Caption Generator - Implementation of ["Show and Tell"](http://arxiv.org/abs/1411.4555)
- Neural Caption Generator with Attention - Implementation of ["Show, Attend and Tell"](http://arxiv.org/abs/1502.03044)
- Weakly_detector - Implementation of ["Learning Deep Features for Discriminative Localization"](http://cnnlocalization.csail.mit.edu/)
- Dynamic Capacity Networks - Implementation of ["Dynamic Capacity Networks"](http://arxiv.org/abs/1511.07838)
- 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
- Highway Network - TensorFlow implementation of ["Training Very Deep Networks"](http://arxiv.org/abs/1507.06228) with a [blog post](https://medium.com/jim-fleming/highway-networks-with-tensorflow-1e6dfa667daa#.ndicn1i27)
- Sentence Classification with CNN - TensorFlow implementation of ["Convolutional Neural Networks for Sentence Classification"](http://arxiv.org/abs/1408.5882) with a [blog post](http://www.wildml.com/2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/)
- End-To-End Memory Networks - Implementation of [End-To-End Memory Networks](http://arxiv.org/abs/1503.08895)
- Character-Aware Neural Language Models - TensorFlow implementation of [Character-Aware Neural Language Models](http://arxiv.org/abs/1508.06615)
- 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](https://deepmind.com/blog/wavenet-generative-model-raw-audio/) for audio generation.
- Mnemonic Descent Method - Tensorflow implementation of ["Mnemonic Descent Method: A recurrent process applied for end-to-end face alignment"](http://ibug.doc.ic.ac.uk/media/uploads/documents/trigeorgis2016mnemonic.pdf)
- YOLO TensorFlow - Implementation of 'YOLO : Real-Time Object Detection'
- Magenta - Research project to advance the state of the art in machine intelligence for music and art generation
- Scikit Flow (TF Learn) - Simplified interface for Deep/Machine Learning (now part of TensorFlow)
- tensorflow.rb - TensorFlow native interface for ruby using SWIG
- tflearn - Deep learning library featuring a higher-level API
- TensorFlow-Slim - High-level library for defining models
- TensorFrames - TensorFlow binding for Apache Spark
- caffe-tensorflow - Convert Caffe models to TensorFlow format
- keras - Minimal, modular deep learning library for TensorFlow and Theano
- SyntaxNet: Neural Models of Syntax - A TensorFlow implementation of the models described in [Globally Normalized Transition-Based Neural Networks, Andor et al. (2016)](http://arxiv.org/pdf/1603.06042.pdf)
- 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](https://storage.googleapis.com/amy-jo/talks/tf-workshop.pdf) & [Code](https://github.com/amygdala/tensorflow-workshop) by Julia Ferraioli, Amy Unruh, Eli Bixby
- Large Scale Deep Learning with TensorFlow - Spark Summit 2016 Keynote by Jeff Dean
- 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
- 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](https://github.com/tensorflow/models/tree/master/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
- 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.
- 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.
- Stack Overflow
- @TensorFlo on Twitter
- Mailing List
- First Contact with TensorFlow
- 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 environmemts - 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
- @jtoy
- guidelines
- vinta
- this page
Programming Languages
Keywords
tensorflow
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deep-learning
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machine-learning
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neural-network
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python
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nlp
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