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Name: Yunhe Li
Type: User
Company: @mila-iqia
Bio: Research in machine learning.
Location: Montreal, Canada
Name: Yunhe Li
Type: User
Company: @mila-iqia
Bio: Research in machine learning.
Location: Montreal, Canada
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
Adversarial Training Methods for Network Embedding, WWW2019.
Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).
Algorithms, 4th edition textbook code and libraries
Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"
Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Context Selection for Embedding Models
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
A collection of deep generative models and their implementations.
DeepWalk - Deep Learning for Graphs
Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
ELF: a platform for game research
Library for fast text representation and classification.
starter from "How to Train a GAN?" at NIPS2016
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Implementation of Graph Convolutional Networks in TensorFlow
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Topic Modelling for Humans
Graph Markov Neural Networks
Google AI Research
Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
Implementation of GraphGAN in tensorflow
Representation learning on large graphs using stochastic graph convolutions.
code for the paper "Improved Techniques for Training GANs"
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
:pencil: Python / C++ 11 Solutions of LeetCode Questions
LeetCode In Action - Python (384+/394)
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.