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L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.
A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).
Code and hyperparameters for the paper "Generative Adversarial Networks"
Adversarially Learned Inference
Bitcoin Core integration/staging tree
Source Code for my blog post: A Practical Introduction to Blockchain with Python
A Theano framework for building and training neural networks
Interactive Web Plotting for Python
Presentation of Neural NILM for BuildSys 2015 conference in November 2015
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
A technical report on convolution arithmetic in the context of deep learning
Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep Convolutional Generative Adversarial Networks
Keras code and weights files for popular deep learning models.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
Generate images via a Generative Adversarial Network (GAN)
starter from "How to Train a GAN?" at NIPS2016
TensorFlow tutorial on Generative Adversarial Models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Hidden Markov Models in Python, with scikit-learn like API
A versatile GAN(generative adversarial network) implementation. Focused on scalability and ease-of-use.
Generative Adversarial Text-to-Image Synthesis
code for the paper "Improved Techniques for Training GANs"
Implementation of Google's Inception + ResNet v2 architecture in Keras
Implementation of Google's Inception v4 architecture in Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
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.