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Name: Yucen Luo
Type: User
Company: Tsinghua University
Bio: Machine Learning Ph.D. student at Tsinghua University, @thu-ml
Location: Beijing, China
Blog: yucenluo.com
Name: Yucen Luo
Type: User
Company: Tsinghua University
Bio: Machine Learning Ph.D. student at Tsinghua University, @thu-ml
Location: Beijing, China
Blog: yucenluo.com
Code and hyperparameters for the paper "Generative Adversarial Networks"
Implementation of auxiliary deep generative models for semi-supervised learning
A small project for classifying Bandcamp album covers by their genre
Bayesian Program Learning model for one-shot learning
Caffe: a fast open framework for deep learning.
Sparse Inverse Covariance Estimator - Graphical Lasso & Neighbor Selection
Gibbs Sampling and Metropolis-Hastings for Mixture of Gaussians + Variational Inference for Latent Dirichlet Allocation (LDA)
communication-efficient distributed coordinate ascent
A GPU implementation of Convolutional Neural Nets in C++
Easy benchmarking of all public open-source implementations of convnets
Python module for performing basic dense linear algebra computations on the GPU using CUDA.
Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders
Implementation of some deep learning algorithms.
I implement RBM, DBN, Multi-modal DBN with Python and the majority of matrix operations are executed on GPU. In this project I employ Cudamat and Numpy python libs.
Code for the Kaggle competition http://www.kaggle.com/c/diabetic-retinopathy-detection
Reference implementation for Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Dropout As A Bayesian Approximation: Code
natural image generation using ConvNets
Fetching is an implementation of parallel predictive prefetching for Metropolis-Hastings. Prefetching algorithms use speculative execution to parallelize MCMC.
Efficient implementation of Generative Stochastic Networks
Automatically exported from code.google.com/p/image-txt-multimodal
Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
Look Ahead Hamiltonian Monte Carlo
Gibbs sampling in Python.
Automatically exported from code.google.com/p/multimodal-neural-language-models
Code samples for my book "Neural Networks and Deep Learning"
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.