Implementation of BERT for SQuAD dataset.

Implementation of BERT for Named Entity Recognition

Transfer learning using YOLOv3 on new dataset

The project aimed at creating a pipeline using deep neural networks and convolutional neural networks to classify traffic signs.

The project aimed at building a CNN based deep neural network that will be able to clone the driving behaviour of human driver, thus being able to drive autonomously on a simulator provided by Udacity.

Project aimed at track a bicycle's position and velocity using Kalman filter, lidar measurements and radar measurements.

Car damage detection from images using Detectron 2.