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Name: Asmita Bhat
Type: User
Bio: Research Scientist @ RPTU Kaiserslautern-Landau
Twitter: bhat_asmita
Location: Kaiserslautern, Germany
Name: Asmita Bhat
Type: User
Bio: Research Scientist @ RPTU Kaiserslautern-Landau
Twitter: bhat_asmita
Location: Kaiserslautern, Germany
Experiment code associated with our paper: "Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks"
code for "Isolating Sources of Disentanglement in Variational Autoencoders".
Pytorch implementation of β-VAE
Bézier Generative Adversarial Networks
On Variational Learning of Controllable Representations for Text without Supervision https://arxiv.org/abs/1905.11975
A sample code of data augmentation methods for wearable sensor data (time-series data)
The Leek group guide to data sharing
This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction over airfoils.
Learning Continuous Signed Distance Functions for Shape Representation
A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents
implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow
Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).
Dynamic dashboard - which can be updated by one click - of COVID-19 data with filtered and calculated data sets
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
Official PyTorch implementation on ID-GAN: High-Fidelity Synthesis with Disentangled Representation by Lee et al., 2020.
Code for "Inference Suboptimality in Variational Autoencoders"
PyTorch Implementation of InfoGAN
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
Pytorch implementation of MixNMatch
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
A σ-VAE implementation in PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.