Pinned Repositories
began
Boundary equilibrium GAN implementation in Tensorflow
cvae
Conditional variational autoencoder implementation in Torch
dirt-t
A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
kaos
Deep variational inference library for Keras
micro-projects
A collection of small code snippets for learning how to code
nn-bayesian-optimization
We use a modified neural network instead of Gaussian process for Bayesian optimization.
tensorbayes
Deep variational inference in tensorflow
tensorsketch
A lightweight library for tensorflow 2.0
vae-clustering
Unsupervised clustering with (Gaussian mixture) VAEs
vae-experiments
Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction is work-in-progress.
RuiShu's Repositories
RuiShu/vae-clustering
Unsupervised clustering with (Gaussian mixture) VAEs
RuiShu/dirt-t
A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
RuiShu/nn-bayesian-optimization
We use a modified neural network instead of Gaussian process for Bayesian optimization.
RuiShu/cvae
Conditional variational autoencoder implementation in Torch
RuiShu/tensorsketch
A lightweight library for tensorflow 2.0
RuiShu/vae-experiments
Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction is work-in-progress.
RuiShu/micro-projects
A collection of small code snippets for learning how to code
RuiShu/tensorbayes
Deep variational inference in tensorflow
RuiShu/began
Boundary equilibrium GAN implementation in Tensorflow
RuiShu/kaos
Deep variational inference library for Keras
RuiShu/fast-style-transfer
Fast style transfer in TensorFlow
RuiShu/one-bit-vae
A silly and weirdly useful experiment where I attempt to encode one bit of information with a VAE
RuiShu/tensorflow-gp
Implementation of gaussian processes and bayesian optimization in tensorflow
RuiShu/acgan-biased
Experiments verifying that AC-GAN downsamples points near decision boundary (NIPS BDL 2017)
RuiShu/variational-autoencoder
Basic implementation of variational autoencoders in Torch
RuiShu/deep-generative-models
Deep generative models in Tensorflow
RuiShu/bcde
Bottleneck Conditional Density Estimation (ICML 2017)
RuiShu/ConvFeFe
The best neural network
RuiShu/real-nvp-pytorch
Real NVP PyTorch a Minimal Working Example
RuiShu/vda-hax
Simple tricks to improve visual domain adaptation for MNIST -> SVHN
RuiShu/cross-domain-image-generation
Implementation of Unsupervised Cross-Domain Image Generation
RuiShu/minimum-probability-flow
Matlab implementation of factorized minimum probability flow
RuiShu/notes
Course notes
RuiShu/score_sde
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)