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๐Ÿ‘‹ Hi there, Iโ€™m Debangsha Sarkar

  • ๐Ÿ‘€ Iโ€™m interested in 2D and 3D computer vision, natural language processing, and immersive technology such as augmented reality (AR) and virtual reality (VR).
  • ๐Ÿ’ผ I have two master's degrees from the University of British Columbia. The first one is in Master of Data Science (MDS), which is a course-based graduate program. My latest master's degree is a Master of Science (M.Sc.) in Computer Science, focusing on Machine Learning (ML).
  • ๐Ÿง My mission is to use artificial intelligence to solve real-world problems.
  • ๐ŸŒฑ Iโ€™m currently learning blockchain because it has many applications in deep learning.
  • ๐Ÿงพ PUBLICATIONS:
  • I am open to opportunities in Machine Learning Development and Artificial Intelligence Development.

I run a YouTube channel where I teach coding and explain the concepts of AI.

(CLICK ME)


I also run a podcast called the AI PODCAST on YouTube, Spotify, and Apple Podcast. Click the following logos below to check out my podcast. It's amazing!!


Connect with me on LinkedIn

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debangsha1992's Projects

100-days-of-ml-code icon 100-days-of-ml-code

A day to day plan for this challenge. Covers both theoritical and practical aspects

closed-form-matting icon closed-form-matting

Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York

cool-robots icon cool-robots

This is a page for showcasing cool robots generated using SD 1.4

debangsha1992.github.io icon debangsha1992.github.io

๐Ÿš€ Software Developer Portfolio Template that helps you showcase your work and skills as a software developer.

deepvis-preddiff icon deepvis-preddiff

Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

doodlenet icon doodlenet

A doodle classifier(CNN), trained on all 345 categories from Quickdraw dataset.

emoji2vec icon emoji2vec

Train emoji embeddings solely based on the GloVe representations for the emoji descriptions.

emoji2vec-1 icon emoji2vec-1

emoji2vec: Learning Emoji Representations from their Description

face_recognition icon face_recognition

A light weight face recognition implementation using a pre-trained facenet model

gephi icon gephi

Gephi - The Open Graph Viz Platform

gp_regression icon gp_regression

A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

h5py icon h5py

HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.

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