Antony 's Projects
(2020) A series of projects analyzing data from the Nickel 1-m telescope regarding photon counting, spectra, and asteroid tracking.
bootcamp for new AMS students at CSM COPY
Learning and implementing derivative free (mostly gradient-approximating, zeroth order) optimization techniques.
A quick tutorial that will allow those with API access to prompt OpenAI large language models (LLMs) if the web version limits them in some capacity.
(2021) Quick project where I taught undergraduates how to solve differential equations in Python. Built an example SIR model (system of differential equations to track the spread of a virus in epidemiology).
Coding up and training my own GPT from scratch. A learning experience for me, and hopefully a tutorial for others in the future!
Current source and development for the LatticeKrig R Package providing spatial interpolation for large data sets.
Writing basic NNs in Python or Julia (PyTorch, Numpy, Flux.jl)
A repository containing the experimental LatticeKrig package version, and all supplementary code and figures for the paper: Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
(2022) The field that I am currently studying in. A set of projects using the fields package for spatial statistics.
(2022) A very simple guide to speeding up linear algebra/large matrix operations in R on personal Windows devices.
(2021) Undergrad project on calculating and predicting supercar top speeds using simulations backed by differential equations and predictions from logistic and linear regression.
(2023) The USAD architecture which I utilized for an anomaly detection task while doing research at NASA's JPL.