Simple demonstration of separable convolutions

Keras w/ Tensorflow backend implementation for 3D channel-wise convolutions

Reimplementation of the PLS-Net architecture used for lung lobe segmentation in CT

Original code for "Exploiting Learned Symmetries in Group Equivariant Convolutions"

Classification between normal and pneumonia affected chest-X-ray images using deep residual learning along with separable convolutional network(CNN). This methodology involves efficient edge preservation and image contrast enhancement techniques for better classification of the X-ray images.

I Implemented some of the custom complex Convolutional Neural Network architecture using tensorow.keras Functional API.

Recognizing hindi letters written by tracing your hand in the air

Neural Style Transfer featuring styles of world's greatest artists.

A deep residual network implementing separable convolution to diagnose Pneumonia from CXR images.

A deep neural network developed following the residual learning and separable convolution paradigms to diagnose basal and squamous cell carcinoma using a subset of ISIC dataset.