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  • ba_weber
  • fix_zscore_normalization
  • ma-daxhammer
  • master default protected
  • ppo_algorithm
  • sac
  • transformer
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Created with Raphaël 2.2.04May16Apr1413765331Mar628Jan231511109329Dec222019189652127Nov2622191714121187531Oct302818118764127Sep2624231917151310965330Aug28252322211918171613121123Jul2019181716151413111097632125Jun24211614131211109876531May27262119168Apr754325Feb2229Jan2420Dec21Nov26Oct2522186Sep31Aug3026212096515Jul19Jun18171615141231May30new name and parameters for memory layerfixes for large memory layerStarted Implementation of LargeMemory layerMerge branch 'develop' into 'master'bumped version numberMerge branch 'semantic_segmentation' into developfix checking template eval_metric_paramsUpdate settings.xmlMerge branch 'develop' into 'master'Merge branch 'semantic_segmentation' into developupdated cnnarch dependencyupdated GenerationTestuncommented broken tests and marked with todoupdated tests after rebaseupdated tests, pom.xmladded allow_missing and ignore_extra for pretrained weightsadded metric loss accuracy_ignore_labeladded metric AccuracyWithIgnoreLabeladded "groups" parameter for conv and transconvadded weightsPathadded load_pretrained kwargadjusted weights for adding loss_weightchanged crop to crop testadded Crop Layer to supported layersremoved illegal parameter in dice_losschanged crop end to until for compatibilitychanges to crop layermodified for batchesmodified Crop.ftladded crop.ftlfix for DiceLossupdated tests for DiceLossadded DiceLoss to templatepossible bug in SoftmaxCELossIgnoreIndices lossadjusted accumulation of predictions for eval metric to work with semantic segmentation taskadded batch_loss to CNNSupervisedTrainer template and testsrefactoring: lossAxis to loss_axisupdated testsadded loss axis parameter to supervised trainer templatechanged ci to only use linux runner