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The classical papers and codes about generative adversarial nets
Must-read papers on deep learning to hash (DeepHash)
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
Classify documents on topics, using Reuters-21578 dataset.
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Utility functions
Image Caption, Image Description, Text to Image, Video Captioning
MMD-GAN: Towards Deeper Understanding of Moment Matching Network
Notes of deep learning papers
A implementation of Deep Adaptation Network with pytorch
A list of papers on Generative Adversarial (Neural) Networks
Code for Tensorflow Machine Learning Cookbook
Reuters-21578 multi-class multi-label Classification with Keras
Tensorflow implementation of attention mechanism for text classification tasks.
just another weka
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.