Topic: sagecal Goto Github
Some thing interesting about sagecal
Some thing interesting about sagecal
sagecal,Using DALiuGE for Distributed SAGECal with BashShellAppDrop and FileDrop
Organization: astroitlab
sagecal,Using DALiuGE for Distributed SAGECal with DynlibAppDrop and MemoryDrop
Organization: astroitlab
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.
Organization: nlesc-dirac
Home Page: http://sagecal.sourceforge.net
sagecal,Radio interferometric calibration with PyTorch. An example of how to solve a general optimization problem.
User: sarodyatawatta
sagecal,Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth
User: sarodyatawatta
sagecal,Hint assisted reinforcement learning
User: sarodyatawatta
sagecal,Shapelet model creator for SAGECal
User: sarodyatawatta
sagecal,Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.
User: sarodyatawatta
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