A lightweight library for tensorflow 2.0

A collection of small code snippets for learning how to code

Deep variational inference in tensorflow

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

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

Implementation of Unsupervised Cross-Domain Image Generation

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

Deep generative models in Tensorflow

Fast style transfer in TensorFlow

Bottleneck Conditional Density Estimation (ICML 2017)

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

The best neural network

Boundary equilibrium GAN implementation in Tensorflow

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

Unsupervised clustering with (Gaussian mixture) VAEs

Deep variational inference library for Keras

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.

Basic implementation of variational autoencoders in Torch

Conditional variational autoencoder implementation in Torch

Implementation of gaussian processes and bayesian optimization in tensorflow