Andrew Saydjari's repositories
CloudCovErr.jl
Pipeline for debiasing and improving error bar estimates for photometry on top of structured/filamentary background.
LowRankOps.jl
Type/method defintions for speeding up matrix computations for matrices built from low rank components.
apMADGICS.jl
Pipeline for APOGEE spectra component separation
andrew-saydjari.github.io
Personal Academic Website
CloudClean.jl
Image infilling algorithm with focus on statistically accuracy
crowdsource
Crowded field photometry pipeline
KryburyCompress.jl
Compression method for storing large covariance matrices, which is also fast when they are built from low-rank factors.
AdventOfCode2023.jl
My Julia solutions for Advent of Code 2023
apogee_drp
SDSS-V APOGEE Reduction Pipeline
brick-jwst-2221
Data reduction & analysis for the Brick JWST 2221 data
crowdsourcephoto-feedstock
A conda-smithy repository for crowdsourcephoto.
desi_retriever
Quick way of fetching DESI spectra in Python without logging to NERSC
FITSIO.jl
Flexible Image Transport System (FITS) file support for Julia
gspice
GSPICE: Gaussian Pixelwise Conditional Estimation
Healpix.jl
Healpix library written in Julia
IDL.jl
Call IDL from Julia
Images.jl
An image library for Julia
legacypipe
Image reduction pipeline for the DESI Legacy Imaging Surveys, using the Tractor framework
legacyviewer_tools
Tools for working with the Legacy Survey Sky Browser.
lsd
Large Survey Database
mfouesneau.github.com
My personal website
numpy
The fundamental package for scientific computing with Python.
scikit-learn
scikit-learn: machine learning in Python
SequencerJ.jl
Julia-language port of the Sequencer algorithm, originally developed in python (https://github.com/dalya/Sequencer). The Sequencer finds trends in 1-dimensional data sets and has been used by its original authors for data analysis in astrophysics, seismology, image processing, etc. Contributions are welcome!
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
wssa_utils
Utilities for reading WSSA tiles.