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antonyxsik/README.md

Hey 👋

My name is Antony, and I develop statistical and deep learning methods and packages for efficiently working with big spatial data. Some other projects include working with LLMs, optimization methods, climate model parameterizations, and anomaly detection algorithms.

You can also find me at:

LinkedIn Personal Website Google Scholar

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  1. LatticeVision LatticeVision Public

    "LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data" accompanying code.

    Jupyter Notebook 7

  2. Normalization-Paper Normalization-Paper Public

    A repository containing supplementary code and figures for the paper "Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data"

    R 3

  3. LatticeKrigRPackage LatticeKrigRPackage Public

    Forked from dnychka/LatticeKrigRPackage

    Current source and development for the LatticeKrig R Package providing spatial interpolation for large data sets.

    HTML 2

  4. ittybittyGPT ittybittyGPT Public

    Coding up and training my own GPT from scratch. A learning experience for me, and hopefully a tutorial for others in the future!

    Jupyter Notebook 8

  5. Unsupervised_Anomaly_Detect Unsupervised_Anomaly_Detect Public

    (2023) The USAD architecture which I utilized for an anomaly detection task while doing research at NASA's JPL.

    Jupyter Notebook 3

  6. DF_ZO_Optimization DF_ZO_Optimization Public

    Learning and implementing derivative free (mostly gradient-approximating, zeroth order) optimization techniques.

    Jupyter Notebook 2