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Hi, I'm Jinen 👋🏼

I'm a Machine Learning Engineer @ DagsHub. Independently, I'm researching aspects of ML theory, intrinsic and mechanistic interpretability, and domain generalization; I aim to study and develop methods for leveraging intuitive biases which enable models to find parameters that produce emergent behaviors while remaining interpretable by design.

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📬 [email protected]
💾 Résumé
📜 CV
📝 Research Statement
🔑 PGP Key

Jinen Setpal's Projects

boilerbot icon boilerbot

Official Open-Source Implementation of BoilerBot: A Reliable Task-Oriented Chatbot Enhanced with Large Language Models.

cityscapes icon cityscapes

README, dataset and scripts for the Cityscapes Dataset

csjournal icon csjournal

journal work for senior year high school cs

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

dada2000 icon dada2000

Driver Attention Prediction in Accidental Scenarios

discord-door icon discord-door

Optimized program to display an image of a door on Discord using the least possible memory

facial-expression-recognition.pytorch icon facial-expression-recognition.pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

lint icon lint

lint - Leveraging INTerpretability

oderl icon oderl

Experiment code for "Continuous-Time Model-Based Reinforcement Learning"

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