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airfoil-opt-gan

Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"

asmitabhat30

beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

beta-vae

Pytorch implementation of β-VAE

bezier-gan

Bézier Generative Adversarial Networks

cp-vae

On Variational Learning of Controllable Representations for Text without Supervision https://arxiv.org/abs/1905.11975

data-analysis-and-visualization-using-bokeh

data-augmentation-for-wearable-sensor-data

A sample code of data augmentation methods for wearable sensor data (time-series data)

datasharing

The Leek group guide to data sharing

deep-learning-for-aerodynamic-prediction

This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction over airfoils.

deepsdf

Learning Continuous Signed Distance Functions for Shape Representation

diffusevae

A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents

dirichlet-vae-topic-models

implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow

disentangled-sequential-autoencoder

Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).

dynamic-dashboard-for-covid-19-data-analysis

Dynamic dashboard - which can be updated by one click - of COVID-19 data with filtered and calculated data sets

exploratory-data-analysis

factorvae

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

gan_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

iaf-vae

Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"

idgan

Official PyTorch implementation on ID-GAN: High-Fidelity Synthesis with Disentangled Representation by Lee et al., 2020.

image-synthesis-using-conditional-gans

inference-suboptimality

Code for "Inference Suboptimality in Variational Autoencoders"

infogan-pytorch

PyTorch Implementation of InfoGAN

lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

mixnmatch

Pytorch implementation of MixNMatch

mnist_fashion_classification

nvae

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

semi-amortized-vae

sentiment-analysis-using-rnn-lstm

sigma-vae-pytorch

A σ-VAE implementation in PyTorch