Asmita Bhat's repositories
vae-lagging-encoder
PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
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
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
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"
inference-suboptimality
Code for "Inference Suboptimality in Variational Autoencoders"
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)"