RuiShu/vda-hax

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Python
Created almost 7 years ago
Updated almost 7 years ago

RuiShu/vda-hax

RuiShu

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

vae-clustering

Unsupervised clustering with (Gaussian mixture) VAEs

Jupyter Notebook

dirt-t

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

nn-bayesian-optimization

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

cvae

Conditional variational autoencoder implementation in Torch

Jupyter Notebook

tensorsketch

A lightweight library for tensorflow 2.0

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.

micro-projects

A collection of small code snippets for learning how to code

Jupyter Notebook

tensorbayes

Deep variational inference in tensorflow

began

Boundary equilibrium GAN implementation in Tensorflow

kaos

Deep variational inference library for Keras

fast-style-transfer

Fast style transfer in TensorFlow

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)

deep-generative-models

Deep generative models in Tensorflow

ConvFeFe

The best neural network

bcde

Bottleneck Conditional Density Estimation (ICML 2017)