Highlights
- Pro
Stars
Statistical and Algorithmic Investing Strategies for Everyone
Algorithms for outlier, adversarial and drift detection
GPU-Accelerated Deep Learning Library in Python
Collaborative platform for time-domain astronomy
Tools for working with the @ESAGaia data and related data sets
Deep Learning Based Cosmic Ray Removal for Astronomical Images
Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications
Some links and docs related to Josh Bloom's SciPy2012 Keynote (20 July 2012)
Fully customizable (scientific, compute-intensive) web application template
Open, versioned taxonomy for astronomical time-series sources
Code to reproduce results in the paper, deepCR: Cosmic Ray Rejection with Deep Learning (Zhang & Bloom (2019))
Python codes that use a Bayesian linear regression fitting method to simultaneous fit multi-band period--luminosity relations (originally for RR Lyrae stars, but easily adapted to Cepheids). Also i…
Simple tool to convert a bibtex file to the start of an NSF-compliant COA file
EclipseBin is a Python package designed for binning light curves of eclipsing binary stars using a non-uniform binning scheme. The package focuses on better capturing the details of eclipses by all…