Vandit Jain

Class-balanced-loss-pytorch. Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

Self-Supervised-Gans-Pytorch. Ready to train Pytorch implementation of the CVPR'19 paper "Self-Supervised GANs via Auxiliary Rotation Loss"

TF2-scripts. Scripts related to deep learning written using tensorflow 2.0

SRCondenseNet. Pytorch implementation of the paper "Efficient single image super resolution using Learned Group Convolutions"

AI-lab-codes. Scripts for the various Artificial Intelligence lab tasks

Movielens-Data. Analysis of the movielens data