antonyxsik
Statistics PhD candidate at CSM. Developing the LatticeKrig R package for big spatial data, currently interested in LLMs.
Colorado School of MinesDenver
Pinned Repositories
AstroPhysics-Projects
(2020) A series of projects analyzing data from the Nickel 1-m telescope regarding photon counting, spectra, and asteroid tracking.
GPT-API-Access-Tutorial
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.
ittybittyGPT
Coding up and training my own GPT from scratch. A learning experience for me, and hopefully a tutorial for others in the future!
LatticeKrigRPackage
Current source and development for the LatticeKrig R Package providing spatial interpolation for large data sets.
NeuralNetExperiments
Writing basic NNs in Python or Julia (PyTorch, Numpy, Flux.jl)
Normalization-Paper
A repository containing supplementary code and figures for the paper "Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data"
Spatial-Statistics
(2022) The field that I am currently studying in. A set of projects using the fields package for spatial statistics.
SpeedingUpR
(2022) A very simple guide to speeding up linear algebra/large matrix operations in R on personal Windows devices.
Supercar-Topspeeds
(2021) Undergrad project on calculating and predicting supercar top speeds using simulations backed by differential equations and predictions from logistic and linear regression.
Unsupervised_Anomaly_Detect
(2023) The USAD architecture which I utilized for an anomaly detection task while doing research at NASA's JPL.
antonyxsik's Repositories
antonyxsik/GPT-API-Access-Tutorial
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.
antonyxsik/ittybittyGPT
Coding up and training my own GPT from scratch. A learning experience for me, and hopefully a tutorial for others in the future!
antonyxsik/Spatial-Statistics
(2022) The field that I am currently studying in. A set of projects using the fields package for spatial statistics.
antonyxsik/AstroPhysics-Projects
(2020) A series of projects analyzing data from the Nickel 1-m telescope regarding photon counting, spectra, and asteroid tracking.
antonyxsik/NeuralNetExperiments
Writing basic NNs in Python or Julia (PyTorch, Numpy, Flux.jl)
antonyxsik/SpeedingUpR
(2022) A very simple guide to speeding up linear algebra/large matrix operations in R on personal Windows devices.
antonyxsik/Normalization-Paper
A repository containing supplementary code and figures for the paper "Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data"
antonyxsik/Supercar-Topspeeds
(2021) Undergrad project on calculating and predicting supercar top speeds using simulations backed by differential equations and predictions from logistic and linear regression.
antonyxsik/Unsupervised_Anomaly_Detect
(2023) The USAD architecture which I utilized for an anomaly detection task while doing research at NASA's JPL.
antonyxsik/DF_ZO_Optimization
Learning and implementing derivative free (mostly gradient-approximating, zeroth order) optimization techniques.
antonyxsik/LatticeKrigRPackage
Current source and development for the LatticeKrig R Package providing spatial interpolation for large data sets.
antonyxsik/bash-git-bootcamp
bootcamp for new AMS students at CSM COPY
antonyxsik/Intro-DifEq-SageMath
(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).
antonyxsik/antonyxsik.github.io
Github Pages template for academic personal websites, forked from academicpages/academicpages.github.io
antonyxsik/decoding-gpt
antonyxsik/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)