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@ML-Purdue @b01lers @BARC-Purdue @Purdue-WDC

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jinensetpal/README.md

Hi, I'm Jinen 👋🏼

I’m a PhD student advised by Prof. Chaoyue Liu, researching aspects of optimization theory, intrinsic interpretability, & domain generalization.

I aim to develop methods for leveraging intuitive biases which enable learning parameters that produce emergent behaviors while remaining interpretable by design.

Metadata:

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

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  1. contrastive-optimization contrastive-optimization Public

    Python

  2. lint lint Public

    lint - Leveraging INTerpretability

    Python 3

  3. boilerbot boilerbot Public

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

    Python 7

  4. telescope telescope Public

    Multi-pass image upsampling module for parameter-efficient classification

    Python 2 1

  5. scene-graph-generation scene-graph-generation Public

    Template repository for the Scene Graph Generation Challenge in the ML@Purdue x DagsHub Fall 2023 Hackathon.

    Python

  6. ArchiMeDe ArchiMeDe Public

    DANKMEMES Shared Task for EVALITA 2020

    Jupyter Notebook 7