Name: Kumar Abhishek
Type: User
Company: @sfu-mial
Bio: PhD Student, Medical Image Analysis Lab, Simon Fraser University
Twitter: __KumarAbhishek
Location: Vancouver, Canada
Blog: https://www.kabhishe.com
Kumar Abhishek's Projects
A beautiful, simple, clean, and responsive Jekyll theme for academics
Downloads Amul's brilliant advertisements from the Amul Hits
Visualizing audio features of music albums using Spotify's Web API
A curated list of awesome Deep Learning tutorials, projects and communities.
Awesome GAN for Medical Imaging
Tool for visualizing attention in BERT and OpenAI GPT-2
Automatically exported from code.google.com/p/camscanner
Testing a model performance for CIFAR10-C
Using simple mlp to improve accuracy of low-level statistics-based methods
Data and code for our analysis of DermaMNIST (MedMNIST) and Fitzpatrick17k datasets
A Jekyll theme with a minimal design inspired from typewriters.
Repository for DDI-COCO: A DATASET FOR UNDERSTANDING THE EFFECT OF COLOR CONTRAST IN MACHINE-ASSISTED SKIN DISEASE DETECTION
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Supporting code for Deep Neural Network or Dermatologist?
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
Implementation of image processing filters in C++/OpenCV
Source code and models GALD net (BMVC-2019)and Dual-Seg Net (BMVC-2019)
Global Reasoning module for visual recognition
$ git remote <graduation> yearbook
sklearn tutorial for introtohacking.github.io
Learning GitHub
This is the code corresponding to our CVPR ISIC 2020 paper.
Python script to download Block Wise Primary Census Abstract Data for Census 2011 of India
shell scripts to install different version of OpenCV in different distributions of Linux
IPMI2019 paper - Melanoma Recognition via Visual Attention
jQuery JavaScript Library