AsmitaBhat30

Diffusion-Models

vae-lagging-encoder

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

AsmitaBhat30

DiffuseVAE

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

vdvae

Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

vqvae

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

sigma-vae-pytorch

A σ-VAE implementation in PyTorch

NVAE

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

vgan

Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

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

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.

datasharing

The Leek group guide to data sharing

xfoil-python

Stripped down version of XFOIL as compiled python module

Beta-VAE

Pytorch implementation of β-VAE

bezier-gan

Bézier Generative Adversarial Networks

skip-vae

CP-VAE

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

DeepSDF

Learning Continuous Signed Distance Functions for Shape Representation

idgan

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

Data-Augmentation-For-Wearable-Sensor-Data

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

MixNMatch

Pytorch implementation of MixNMatch

lxmert

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

Image-Synthesis-using-Conditional-GANs

airfoil-opt-gan

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

iaf-vae

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

Sentiment-Analysis-using-RNN-LSTM

inference-suboptimality

Code for "Inference Suboptimality in Variational Autoencoders"

MNIST_Fashion_Classification

beta-tcvae

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

GAN_stability

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