zhenxuan00

MEM_DGM

Code for "Learning to Generate with Memory"

mmdcgm-ssl

mmDCGMs for accurate classification and excellent class-conditional generation in semi-supervised learning

CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

dgm-mlss-2019

graphical-gan

source code of the paper Graphical Generative Adversarial Networks

MEM_DGM

Code of "Learning to Generate with Memory" (ICML16)

mmdgm

Code of "Max-margin Deep Generative Models" (NIPS15)

pmd

Population matching discrepancy

triple-gan

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

zhenxuan00.github.io

zhenxuan00/triple-gan

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

zhenxuan00/graphical-gan

source code of the paper Graphical Generative Adversarial Networks

zhenxuan00/mmdgm

Code of "Max-margin Deep Generative Models" (NIPS15)

zhenxuan00/zhenxuan00.github.io

zhenxuan00/MEM_DGM

Code of "Learning to Generate with Memory" (ICML16)

zhenxuan00/dgm-mlss-2019

zhenxuan00/CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

zhenxuan00/pmd

Population matching discrepancy

zhenxuan00/vae-zhusuan-mlss

Assignment3 for Machine Learning Summer School 2017 at Tsinghua University: an implementation of VAE based on ZhuSuan