Discover @Pulkit-Khandelwal Open Source projects

Pulkit Khandelwal (@Pulkit-Khandelwal)

Pulkit-Khandelwal

Stars
1,126
Global Rank 27,306 (Top 1.0 %)
Followers 127
Following 263
Registered over 10 years ago
Most used languages

Python
36.4 %

MATLAB
18.2 %

Jupyter Notebook
18.2 %

Shell
9.1 %

HTML
9.1 %

C++
9.1 %
Location 🇺🇸 United States
Country Total Rank 7,981
Country Ranking

Jupyter Notebook
225

MATLAB
3,427

Reinforcement-Learning-Notebooks

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

Jupyter Notebook

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

Image-Steganography

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

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

Jupyter Notebook

COMP540-Matrix-Computations

COMP540: Matrix Computations- McGill University Graduate Course