Name: Kanish Garg
Type: User
Company: Indian Institute of Technology Delhi
Bio: Primary Skill :-Data Analysis (Computer vision, NLP, GANs etc.)
Languages : Java (proficient), C++/C (proficient), Python, MATLAB, Git, SQL, Bash, 8086Assemby
Location: Delhi
Kanish Garg's Projects
Image augmentation library in Python for machine learning.
:books: A collection of edge/contour/boundary detection papers and toolbox.
An awesome README template to jumpstart your projects!
An End to End Pipeline for Cascaded Instance Segmentation
:notebook: Notes for Andrew Ng's courses on deep learning
Doll´ar, P., and Zitnick, C. L. 2015. Fast edge detection using structured forests. IEEE transactions on pattern analysis and machine intelligence 37(8):1558–1570
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
Repository containing wrapper to obtain various object proposals easily
Pb-boundary detection algorithm.
Semantic segmentation models, datasets and losses implemented in PyTorch.
Recurrent Neural Networks for Semantic Instance Segmentation
Udacity Self-Driving Car Engineer Nanodegree projects.
This is a demo quiz app built with Vue.js