Pinned Repositories
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
DeepSDF
Learning Continuous Signed Distance Functions for Shape Representation
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
lxmert
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
Sentiment-Analysis-using-RNN-LSTM
AsmitaBhat30's Repositories
AsmitaBhat30/lxmert
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
AsmitaBhat30/airfoil-opt-gan
Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"
AsmitaBhat30/AsmitaBhat30
AsmitaBhat30/beta-tcvae
code for "Isolating Sources of Disentanglement in Variational Autoencoders".
AsmitaBhat30/Beta-VAE
Pytorch implementation of β-VAE
AsmitaBhat30/bezier-gan
Bézier Generative Adversarial Networks
AsmitaBhat30/CP-VAE
On Variational Learning of Controllable Representations for Text without Supervision https://arxiv.org/abs/1905.11975
AsmitaBhat30/DeepSDF
Learning Continuous Signed Distance Functions for Shape Representation
AsmitaBhat30/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
AsmitaBhat30/Sentiment-Analysis-using-RNN-LSTM
AsmitaBhat30/Data-Augmentation-For-Wearable-Sensor-Data
A sample code of data augmentation methods for wearable sensor data (time-series data)
AsmitaBhat30/datasharing
The Leek group guide to data sharing
AsmitaBhat30/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.
AsmitaBhat30/DiffuseVAE
A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents
AsmitaBhat30/Diffusion-Models
AsmitaBhat30/GAN_stability
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
AsmitaBhat30/iaf-vae
Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
AsmitaBhat30/idgan
Official PyTorch implementation on ID-GAN: High-Fidelity Synthesis with Disentangled Representation by Lee et al., 2020.
AsmitaBhat30/Image-Synthesis-using-Conditional-GANs
AsmitaBhat30/inference-suboptimality
Code for "Inference Suboptimality in Variational Autoencoders"
AsmitaBhat30/MixNMatch
Pytorch implementation of MixNMatch
AsmitaBhat30/MNIST_Fashion_Classification
AsmitaBhat30/NVAE
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
AsmitaBhat30/sigma-vae-pytorch
A σ-VAE implementation in PyTorch
AsmitaBhat30/skip-vae
AsmitaBhat30/vae-lagging-encoder
PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
AsmitaBhat30/vdvae
Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
AsmitaBhat30/vgan
Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
AsmitaBhat30/vqvae
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
AsmitaBhat30/xfoil-python
Stripped down version of XFOIL as compiled python module