NN-EUCLID: deep-learning hyperelasticity without stress data

1 code implementation • 4 May 2022 • Prakash Thakolkaran, Akshay Joshi, Yiwen Zheng, Moritz Flaschel, Laura De Lorenzis, Siddhant Kumar

We propose a new approach for unsupervised learning of hyperelastic constitutive laws with physics-consistent deep neural networks.

Time Efficient Training of Progressive Generative Adversarial Network using Depthwise Separable Convolution and Super Resolution Generative Adversarial Network

no code implementations • 24 Feb 2022 • Atharva Karwande, Pranesh Kulkarni, Tejas Kolhe, Akshay Joshi, Soham Kamble

In Progressive GAN, which is the current state-of-the-art GAN for image augmentation, instead of training the GAN all at once, a new concept of progressing growing of Discriminator and Generator simultaneously, was proposed.

Generative Adversarial Network Image Augmentation +1

Plant Disease Detection Using Image Processing and Machine Learning

1 code implementation • 20 Jun 2021 • Pranesh Kulkarni, Atharva Karwande, Tejas Kolhe, Soham Kamble, Akshay Joshi, Medha Wyawahare

One of the important and tedious task in agricultural practices is the detection of the disease on crops.

BIG-bench Machine Learning

Art Style Classification with Self-Trained Ensemble of AutoEncoding Transformations

no code implementations • 6 Dec 2020 • Akshay Joshi, Ankit Agrawal, Sushmita Nair

The artistic style of a painting is a rich descriptor that reveals both visual and deep intrinsic knowledge about how an artist uniquely portrays and expresses their creative vision.

Classification General Classification +1