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Gowtham's Projects

superres icon superres

Super resolution for microstructure datasets using Generative Adversarial Networks.

superres-1 icon superres-1

Super-resolution of multiphase materials by combining complementary 2D and 3D image data using generative adversarial networks

thermalcontrollpbf-drl icon thermalcontrollpbf-drl

Code implementation of the paper "Thermal Control of Laser Powder Bed Fusion using Deep Reinforcement Learning".

ti64phasefield icon ti64phasefield

Phase field codes for modeling phase transformations in Ti-6Al-4V

tmi icon tmi

A collection of the papers/codes and datasets associated with the MICCAI 2020 Cranial Implant Design Challenge.

tooptix icon tooptix

Overview of the ToOptix Module and Addons

torch-fidelity icon torch-fidelity

High-fidelity performance metrics for generative models in PyTorch

torchio icon torchio

TorchIO: medical imaging for deep learning.

ucipp icon ucipp

UCI++: A huge collection of preprocessed datasets for supervised classification problems in ARFF format

uhcs icon uhcs

image feature extraction code for http://arxiv.org/abs/1702.01117

uhcsdb icon uhcsdb

Microstructure data visualization flask app: http://uhcsdb.materials.cmu.edu

ultra-data-efficient-gan-training icon ultra-data-efficient-gan-training

[Preprint] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

variational-autoencoder icon variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

variationalautoencoder icon variationalautoencoder

An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.

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