Discover RuiShu/vae-experiments Open Source project

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Created over 8 years ago
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RuiShu

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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.

vae-clustering

Unsupervised clustering with (Gaussian mixture) VAEs

Jupyter Notebook

287

dirt-t

A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)

Python

174

nn-bayesian-optimization

We use a modified neural network instead of Gaussian process for Bayesian optimization.

Python

105

cvae

Conditional variational autoencoder implementation in Torch

Jupyter Notebook

102

tensorsketch

A lightweight library for tensorflow 2.0

Python

micro-projects

A collection of small code snippets for learning how to code

Jupyter Notebook

tensorbayes

Deep variational inference in tensorflow

Python

began

Boundary equilibrium GAN implementation in Tensorflow

Python

kaos

Deep variational inference library for Keras

Python

fast-style-transfer

Fast style transfer in TensorFlow

Python

tensorflow-gp

Implementation of gaussian processes and bayesian optimization in tensorflow

Jupyter Notebook

one-bit-vae

A silly and weirdly useful experiment where I attempt to encode one bit of information with a VAE

Jupyter Notebook

variational-autoencoder

Basic implementation of variational autoencoders in Torch

Jupyter Notebook

acgan-biased

Experiments verifying that AC-GAN downsamples points near decision boundary (NIPS BDL 2017)

Python

deep-generative-models

Deep generative models in Tensorflow

Python

ConvFeFe

The best neural network

Python

bcde

Bottleneck Conditional Density Estimation (ICML 2017)

Python

vda-hax

Simple tricks to improve visual domain adaptation for MNIST -> SVHN

Python

RuiShu/vae-experiments

RuiShu

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