sagecal

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Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth

Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.

Radio interferometric calibration with PyTorch. An example of how to solve a general optimization problem.

pytorch calibration radio-astronomy inverse-problems adam sagecal lbfgs lofar lbfgs-optimizer lbfgs-b stochastic-lbfgs

Hint assisted reinforcement learning

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