Name: Automatic Learning for the Rapid Classification of Events (ALeRCE)
Type: Organization
Bio: ALeRCE is an astronomical broker designed to characterize and classify astronomical alert streams generated by large etendue astronomical surveys.
Blog: http://alerce.science/
Automatic Learning for the Rapid Classification of Events (ALeRCE)'s Projects
APF Step to copy a kafka topic
ALeRCE CQRS eventual consistency engine
Create a model with ALeRCE Template (for pipeline integration)
🐍 ALeRCE Python Client
ALeRCE Verification and Report System
apf is a framework developed to create a dockerized pipeline to process an alert stream, that can be easily be deployed in a local machine or distributed using Kubernetes.
Converting ATLAS data to avro (with Go)
repo to create the real-time version of the atlas stream
Repository for all related to batch processing of historic data
🐱📖 catsHTM xmatch service
A tool for fast accessing and cross-matching large astronomical catalogs
A Python client to the CDS xmatch service.
Frontend vue components library
APF Step for correction of magnitude and lightcurve producing
Database plugins for using with ALeRCE databases
A Django email backend for Amazon's Simple Email Service
Tests on using dust reddening maps across the sky and interstellar dust extinction curves for obtaining attenuation values at different filters for several source coordinates. Aiming to provide attenuation-corrected magnitudes for objects from the observed stream
Description and documentation of the architecture experiments
APF Step for feature Computer Step
A monorepo for the ALeRCE frontend web applications.
To save generic alerts
ALeRCE challenge for the Integrative Think Tank 2022
Documentation and tutorial on how to connect to the ALeRCE Kafka Stream
Alert Classification for the ALeRCE Broker System: The Light Curve Classifier