Pinned Repositories
data
Datasets (e.g. observations) for testing and demonstrating our software
pytorch
Improved LBFGS and LBFGS-B optimizers in PyTorch.
sagecal
SAGECal is a fast, memory efficient and GPU accelerated radio interferometric calibration program. It supports all source models including points, Gaussians and Shapelets. Distributed calibration using MPI and consensus optimization is enabled. Both spectral and spatial priors can be used as constraints. Tools to build/restore sky models are included.
sagecal-on-spark
sagecal-spark-docker-swarm
Apache Spark cluster in Docker Swarm
spark-archsci-images
Apache Spark and Hadoop Docker images
Distributed Radio Astronomical Computing (DIRAC)'s Repositories
nlesc-dirac/pytorch
Improved LBFGS and LBFGS-B optimizers in PyTorch.
nlesc-dirac/sagecal
SAGECal is a fast, memory efficient and GPU accelerated radio interferometric calibration program. It supports all source models including points, Gaussians and Shapelets. Distributed calibration using MPI and consensus optimization is enabled. Both spectral and spatial priors can be used as constraints. Tools to build/restore sky models are included.
nlesc-dirac/data
Datasets (e.g. observations) for testing and demonstrating our software
nlesc-dirac/sagecal-on-spark
nlesc-dirac/sagecal-spark-docker-swarm
Apache Spark cluster in Docker Swarm
nlesc-dirac/spark-archsci-images
Apache Spark and Hadoop Docker images