RoshanRane's Projects
3 research questions shall be tackled in this project -
BIH Cluster Wiki
Demonstration of training and developing CNNs using Pytorch for Fashion-MNIST dataset
Deviance explained metric implemented in python
Performing video classificaiton by using the predictive processing architecture. The model is trained in a self-supervised manner to predict the next frames in videos along with the supervised video action classification task.
End-to-end automatic RST parser using neural networks. This team-project is developed as part of the Masters course ANLP at the University of Potsdam.
The Moving-MNIST video dataset reformulated for the task of semantic segmentation.
A tinyYOLO model implementation with tensorflow to be deployed on a RaspberryPi. The model is trained to detect vehicles in a real-time video captured by the camera mounted on the Raspberry Pi
Create a synthetic dataset with toy images of brain MRI slice (2D). Can be used to control for