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Carnegie Mellon University
- Pittsburgh
-
18:08
(UTC -05:00) - http://homb.it
- https://orcid.org/0000-0001-7179-7406
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Server for querying HATS catalogs through VO and HTTP.
HEALPix, MOC, and exact sky-region queries for DuckDB, native and in the browser.
adqlduck is a compiler and metadata generator. It parses ADQL 2.1, resolves names against a catalog descriptor, rewrites sky geometry into a HEALPix range prefilter plus an exact predicate, and emi…
Tools for making cutouts from astronomical images.
PyO3-based bridges between Python and Rust async runtimes
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per re…
MOC library in Rust; used in MOCPy, a CLI, a WASM lib, ...
Library to read/write VOTables in Rust and to convert them in JSON, YAML, TOML and back to XML.
The CDS HEALPix library in Rust (WebAssembly, Python, ...)
js9-software / js9
Forked from ericmandel/js9astronomical image display everywhere
Ordinary arithmetic syntax for Rust's algebraic float operators
Probabilistic modeling of tabular data with normalizing flows.
LSST Alerts and DESI: Building a Real-Time Spectroscopic Context Stream for Transient Discovery
The JuMP-Starter interactive Jupyter code generating questionnaire
A Fast and Nimble Package for Time Domain Astronomy
Hyrax - A low-code framework for rapid experimentation with ML & unsupervised discovery in astronomy
DRP Afterburner for Super HATS - importing rubin catalogs to HATS
Customizable dashboard for monitoring GitHub Actions workflows across repositories
Materials for LSST Discovery Alliance Regional Meeting at JHU, May 11-15: “From Transients to Cosmology”
Large-Scale Multimodal Dataset of Astronomical Data
Do foundation models see the same sky? 🔮
A blazing-fast Rust reader and writer for FITS (Flexible Image Transport System) files — the standard data format of astronomy — targeting the full FITS 4.0 standard.
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference