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Hi, I'm Progyan!

I am a Machine Learning researcher, and I'll be joining as an Applied Scientist at Microsoft Bangalore soon! You may know me as plugyawn, which is what I identify as online. Either way, this is my slice of the internet, so here’s a little bit about me.

I’m intrigued by Theoretical Deep Learning, Probabilistic Machine Learning and Differential Equations (especially in Operator Learning). My research is aligned along those fields.

I’ve been part of the Google Summer of Code, I am a Cargill Global Scholar, and I’ve also serving as the Overall Technical Secretary at IIT Gandhinagar, overseeing all technical activities that occur here at the student level. I also spent a wonderful summer in sunny California as a Caltech SURF fellow in the summer of 2023.

If you see me on the streets of Bangalore some time, do say hi – first chai’s on me.

Progyan's Projects

bishop icon bishop

Bishop is a work-in-progress neural operator library in C++.

black-scholes icon black-scholes

Part of the MA 201 project on the Black-Scholes equation, by Progyan Das, Vedang Chavan, Rahul Chembakasseril, Yash Kokane, and Shaandili Vajpai

cerebruh icon cerebruh

A Windows-based python application aimed at putting Wikipedia at the tip of your finger. One finger.

codemixedtexttoolkit icon codemixedtexttoolkit

Constructing an open-source library like NLTK and spaCy for efficient processing of code-mixed text, models, and datasets under Prof. Mayank Singh.

coinframe icon coinframe

Library for analysing, backtesting, and presenting cryptocurrency portfolios reliably, and with very little code.

commentator icon commentator

A code-mixed annotation tool aimed at increasing the annotation quality whilst reducing the annotation time and various overheads associated with code-mixed data.

competitivecoding icon competitivecoding

My first foray into competitive coding. The commit structure journals my daily improvement!

cs229 icon cs229

Assignments done as part of auditing the CS229 course offered by Stanford in 2018, by Professor Andrew Ng. An abridged version of the course is available on Coursera.

gossip icon gossip

Gossip is a beautiful tree-walk interpreter (that now also supports bytecode!) that allows for beautiful visualizations for abstract syntax trees, and is built to support beginners starting a course on Compiler Design.

gp-zoo icon gp-zoo

A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably including Stochastic Variational Gaussian Processes.

gpjax icon gpjax

A didactic Gaussian process package for researchers in Jax.

insiit icon insiit

Official Students App for IITGN!

learn-z3 icon learn-z3

Some challenge solutions solved using z3

life_code icon life_code

A simple program to simulate attraction/reuplsion forces between many particles

me icon me

roses are red this page is neat, lmao yeet

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