Pulkit Khandelwal's repositories
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
AlgorithmsDataStructures
Algorithms and data structures implemented in Python
COMP551-Applied-Machine-Learning
COMP551: Applied Machine Learning- McGill University Graduate Course
Augmented-Reality-and-Graph-Cut-OpenCV
Detection of Features to Track Objects and Segmentation Using GrabCut for Application in Marker-less Augmented Reality
pulkit-khandelwal.github.io
Personal Website
upenn-picsl-brain-ex-vivo
7 Tesla ex vivo MRI of human brain hemispheres at UPenn
human-anthropometry-chop-picsl
CHOP project to create templates
Reinforcement-Learning-COMP767-at-McGill
Self created course notes and OpenAI's gym tutorials. Reference: Richard Sutton, Doina Precup and David Silver
aoi_footprint_post
Code for the blog post: Generate label footprints for Satellite Imagery
awesome-level-sets
A repository of open source level sets segmentation algorithms
exvivo-brain-upenn
Exvivo postmortem imaging at UPenn
exvivo-hemispheres-picsl-upenn
This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.
frequent-scripts-commands
these scripts/commands are used often by me and here is a good place to keep them
Interactive_Tools
MLT Study Group resources: Deep Learning
medical-image-segmentation-deep-learning
This is an introduction to Bimedical image segmentation using deep learning.
notebooks-1
interactive notebooks from Planet Engineering
papers-we-love
Papers from the computer science community to read and discuss.
pulkit-original-website
My personal website
stanford-tensorflow-tutorials
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
torchgeometry
TGM: PyTorch Geometry
transfer-learning-algorithms
Implementation of many transfer learning algorithms in Python with Jupyter notebooks