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arabind7swain/README.md

Hi there 👋

Welcome to my Github Page.

I have a PhD in Statistical Physics of AI. During the course of my PhD I worked on multiple projects on mathematical foundations of multi modal models and the limits of ML based methods when tryig to understand the physical world.

Currently I am more interested in understanding the design tradeoffs in various LLM architectures and leveraging the data effiencey of multi modality to create predictive models of the fast changing world around us with limited data.

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  1. Distribution-of-singular-values-in-large-sample-cross-covariance-matrices Distribution-of-singular-values-in-large-sample-cross-covariance-matrices Public

    Code to generate the figures for the paper "Distribution of singular values in large sample cross-covariance matrices".

    Python

  2. Better-Together-Cross-and-Joint-Covariances-Enhance-Signal-Detectability-in-Undersampled-Data Better-Together-Cross-and-Joint-Covariances-Enhance-Signal-Detectability-in-Undersampled-Data Public

    Jupyter Notebook

  3. NanoGPT-from-scratch-with-muon-on-8GB-VRAM-on-a-laptop NanoGPT-from-scratch-with-muon-on-8GB-VRAM-on-a-laptop Public

    Python

  4. GARCH-and-GJR-GARCH-with-numpy GARCH-and-GJR-GARCH-with-numpy Public

    Python

  5. Nonnormaloptionpricingcomparision Nonnormaloptionpricingcomparision Public

    Self-contained comparison harness that computes European option prices (call/put/straddle), Black–Scholes implied volatilities, and distribution moments when the terminal log-price or price follows…

    Python

  6. arabind7swain.github.io arabind7swain.github.io Public

    Personal Website

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