Pulkit Khandelwal

Reinforcement-Learning-Notebooks. A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

medical-mldg-seg. Code for the MICCAI DART 2020 paper

purple-mri. Penn Utilities for Registration and ParcelLation of Ex vivo MRI

Deep-Learning-Papers-Reading-Roadmap. Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

AlgorithmsDataStructures. Algorithms and data structures implemented in Python

Augmented-Reality-and-Graph-Cut-OpenCV. Detection of Features to Track Objects and Segmentation Using GrabCut for Application in Marker-less Augmented Reality

COMP551-Applied-Machine-Learning. COMP551: Applied Machine Learning- McGill University Graduate Course

awesome-computer-vision. A curated list of awesome computer vision resources

Image-Steganography. Code for the paper "Randomly Hiding Secret Data using Dynamic Programming for Image Steganography"

upenn-picsl-brain-ex-vivo. 7 Tesla ex vivo MRI of human brain hemispheres at UPenn

Reinforcement-Learning-COMP767-at-McGill. Self created course notes and OpenAI's gym tutorials. Reference: Richard Sutton, Doina Precup and David Silver

COMP540-Matrix-Computations. COMP540: Matrix Computations- McGill University Graduate Course

human-anthropometry-chop-picsl. CHOP project to create templates

pulkit-khandelwal.github.io. Personal Website

awesome-level-sets. A repository of open source level sets segmentation algorithms