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Hi šŸ‘‹, I'm Subramanyam Sahoo

A passionate AI researcher from India

subramanyamsahoo

subramanyamsahoo

@iamwsubramanyam

  • šŸ”­ Iā€™m currently working on AI, Machine Learning, Deep Learning

  • šŸŒ± Iā€™m currently learning Large Language Models , Representation Learning , Continual Learning , Responsible AI

  • šŸ‘Æ Iā€™m looking to collaborate on Computer Vision, Natural Language Processing

  • šŸ¤ Iā€™m looking for help with Reinforcement Learning , Causal Reasoning

  • šŸ‘Øā€šŸ’» My Portfolio website - https://subramanyamsahoo.github.io/Subramanyam-Sahoo.github.io/

  • šŸ“ I regularly write articles on https://medium.com/@wsubramanyamsahoo

  • šŸ’¬ Ask me about Generative AI, Neural Networks

  • šŸ“« How to reach me - [email protected]

  • āš” Fun fact - Sometimes U don't have to optimize hyperparameters in black box models.

Blogs posts

Connect with me:

@iamwsubramanyam sahoosubramanyam subramanyamsahoo @wsubramanyamsahoo

Languages and Tools:

arduino aws c cockroachdb cplusplus css3 django docker flask git heroku html5 jekyll kubernetes matlab mongodb mysql opencv oracle pandas python pytorch scikit_learn seaborn tensorflow

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Subramanyam Sahoo's Projects

ai_technical_papers icon ai_technical_papers

Papers about algorithms related to the field of AI, Machine Learning, Deep Learning and Neural Networks

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

algorithmic-resources icon algorithmic-resources

A Curated list of Topic wise Theory and Questions to Get You Started On Competitive Coding.

applied-ml icon applied-ml

šŸ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-rnn icon awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

best_ai_papers_2022 icon best_ai_papers_2022

A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

cs-books icon cs-books

A list of textbooks for a Computer Science curriculum.

cs236_dgm icon cs236_dgm

šŸ¦ Stanford CS236 : Deep Generative Models

cs7015_2019 icon cs7015_2019

CS7015: Deep learning, IIT Madras. This repository contains code for all the assignments completed as a part of the course CS7015 Deep Learning at IIT Madras during the Jan-May semester of 2019 and some other useful material.

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

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