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Type: Organization
Type: Organization
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
A slim tensorflow wrapper that provides syntactic sugar for tensor variables. This library will be helpful for practical deep learning researchers not beginners.
Slides and exercises for the Deep Learning Summer School 2015 programming tutorials
Montréal Deep Learning Summer School 2016 material
Pure Java implementation of Van Der Maten and Hinton's t-sne clustering algorithm
Named Entity Recognition Tool
Top-down Tree LSTM http://arxiv.org/abs/1511.00060
A library for generalized sequence to sequence models
TensorBuilder is light-weight extensible library that enables you to easily create complex deep neural networks using functions from any Tensor-based library through a functional fluent immutable API based on the Builder Pattern.
Open source software library for numerical computation using data flow graphs.
TensorFlow Tutorials
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
A deep Q learning demonstration using Google Tensorflow
TensorFlow tutorials and code examples for beginners
Collection of generative models in Tensorflow
The repo for the fast and easy guide to the most popular deep learning framework in the world.
ResNet model in TensorFlow
Dynamic seq2seq in TensorFlow, step by step
Reimplementation of "Reasoning With Neural Tensor Networks for Knowledge Base Completion" (Socher, Chen 2013) in Google's TensorFlow framework. MIT 6.806 Final Project.
Speech recognition using google's tensorflow deep learning framework, sequence-to-sequence neural networks
Tensorflow tutorial of building different dynamic recurrent neural network
Simple tutorials using Google's TensorFlow Framework
TensorFlow Tutorials with YouTube Videos
TensorFlow Tutorial for Time Series Prediction
TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper
A TensorFlow implementation of DeepMind's WaveNet paper
This set of files is an example of how to use Tensorflow for importing and retraining an existing model, such as ResNet. The goal of this example is to separate all functionality on several classes, so it is easy to modify the parameters and run the models, while still having all code not too deep inside.
Slides and supplementary codes for my talk 'Debugging Tips on Tensorflow' (2016)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.