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ITP A2Z Course for Fall 2016
Code and hyperparameters for the paper "Generative Adversarial Networks"
A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
Convolutional neural networks for artistic style transfer
implementation of stacked autoencoders
:sunglasses: Curated list of awesome lists
A curated list of awesome Deep Learning tutorials, projects and communities.
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Bitcoin Core integration/staging tree
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Both deep learning datasets can be imported in python directly with h5py (HDF5 format). The datasets can be directly imported or converted with a python script.
This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube
A flexible framework of neural networks for deep learning
Variational AutoEncoder based on http://nbviewer.ipython.org/gist/duschendestroyer/a41fcab5f7f9ffa45387
A set of useful machine learning libraries written by me
Q-Learning Attempt at Sirajology's CoasterRacer Coding Challenge
Coloring B&W portraits with neural networks.
Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
Machine Learning with Coursera
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
Coherence + Recurrent Neural Network + Convolutional Neural Network
Decoding Polyalphabetic Ciphers with Recurrent Neural Networks
Course notes for CS228: Probabilistic Graphical Models.
Public facing notes page
Convolutional Neural Networks
Deep Convolutional Generative Adversarial Networks
Deep Learning Tutorials
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.