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Created with Raphaël 2.2.014Apr13Nov96315Oct14722Sep211316Aug11721Jul2Jun26May252216118425Apr21191716final commitmainmainFIXED PLOTSaveFinalized everything 2Finalized everythingBack UpAdded correct channel supportAdded mean noise dataGeneralized everythingAdded channel support in validationAdded channel support, fixed Tikhonov, added KaczmarzAdded validation for finding hyperparameterModified INN, added ring lossAdded direct calculation of TIK solutionAdded loss landscapeAdded benchmark example for simple operatorsUnified names, fixed operator for mpi, added denoise test case for inn performanceFixed toy-example dataloader, fixed mnist-example dataloader, added possibility to change operatorsAdded incomplete operator for testing, normalized mnistMigration to moriartyImproved logging, added circle dataset, enabled mean & std error loggingAdded multivariate gaussian dataset, added whitening, combined plots, modified MAP s.t. it trains all methods simultaneouslyMade everything deterministic, added "binary" search for alpha, improved MAP optimizerMoved files, added plots, improved MAPFixed MAP for Lightning, enabled training of 1 sample per epoch; modified BlobDatamodule for MAPAdded Moon, Blob datamodules; added benchmark for INN, MAP; Modified INN ModuleAdded logger for noise prediction from standard normal sampleAdded MAP estimation and modified MNIST datasetAdded clamping option to dataset. Improved logging during training.Added PyTorch Lightning supportInitial commit