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Hi there, I'm Bishwajit ๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป

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I am a final year Student at The National Institute of Technology Durgapur, pursuing a Bachelor of Technology in Computer Science and Engineering , who is passionate about Web Development ๐Ÿ’ป, Competitive programming โš”๏ธ, and open source :octocat:. I love to learn and contribute in any and every possible way.

  • ๐ŸŒฑ Iโ€™m currently learning Python, SQL, JavaScript and Data Structures and Algorithms
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on any Web Development/ML project which seems interesting or useful
  • ๐Ÿ“ซ How to reach me: Use any of the badges above
  • ๐Ÿ“Resume

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Bishwajit Ghosh's Projects

acgpn icon acgpn

"Towards Photo-Realistic Virtual Try-On by Adaptively Generatingโ†”Preserving Image Content"๏ผŒCVPR 2020. (Modified from original with fixes for inference)

adn icon adn

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

adversarial-lesions icon adversarial-lesions

[PMB'2020] Melanoma Detection using Adversarial Training and Deep Transfer Learning

beginner icon beginner

A simple GitHub repository with a simple Python project.

cov19resources icon cov19resources

A non-profit endeavour to collect, verify and provide authentic data about available COVID resources/aids for people to avail. An initiative by The OffBeat Doc.

crelection icon crelection

A django web service for conducting CR election of a class

dataset-linksocial icon dataset-linksocial

Dataset used in our paper LINKSOCIAL: Linking User Profiles Across Multiple Social Media Platforms

gallery-dl icon gallery-dl

Command-line program to download image galleries and collections from several image hosting sites

gdir-thief icon gdir-thief

Red Team tool for exfiltrating the target organization's Google People Directory that you have access to, via Google's API.

hotelfinder-webd icon hotelfinder-webd

This is a Django implementation of one of my other projects, a Hotel Scraper(https://github.com/arin17bishwa/glugwintermentorship)

ling-gender icon ling-gender

A Natural Language Processing model trained with over 1,00,000 (1 Lakh) names is used to predict a gender of a person based on the first name of the person.This model is created using Long Short Term Memory(LSTM) a variant of Recurrent Nueral Network which has training accuracy of 99.35% and tested over 11,000 samples with a test accuracy of 89.08%

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