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Types & classes38 in github.com/DanielShalam/BPA

⨍ Functions 184◇ Types & classes 38
↓ 3 callersClassBPA
bpa/balanced_pairwise_affinities.py:9
↓ 3 callersClassNetworkBlock
models/wrn_mixup_model.py:72
↓ 2 callersClassGaussianModel
methods/pt_map/test_standard.py:51
↓ 2 callersClassGaussianModel
methods/pt_map/evaluation/test_standard.py:53
↓ 2 callersClassSimpleDataManager
methods/pt_map/data/datamgr.py:50
↓ 2 callersClassSmoothedValue
Track a series of values and provide access to smoothed values over a window or the global series average.
utils.py:291
↓ 1 callersClassCategoriesSampler
datasets/samplers.py:5
↓ 1 callersClassDropBlock
models/dropblock.py:7
↓ 1 callersClassGaussianModel
methods/pt_map/pt_map_loss.py:21
↓ 1 callersClassMAP
methods/pt_map/pt_map_loss.py:83
↓ 1 callersClassMAP
methods/pt_map/test_standard.py:127
↓ 1 callersClassMAP
methods/pt_map/evaluation/test_standard.py:123
↓ 1 callersClassResNet
models/res_mixup_model.py:92
↓ 1 callersClassResNet
models/resnet12.py:72
↓ 1 callersClassSimpleDataset
methods/pt_map/data/dataset.py:14
↓ 1 callersClassSubDataset
methods/pt_map/data/dataset.py:64
↓ 1 callersClassTransformLoader
methods/pt_map/data/datamgr.py:9
↓ 1 callersClassWideResNet
models/wrn_mixup_model.py:117
↓ 1 callersClassWrappedModel
methods/pt_map/save_plk.py:17
↓ 1 callersClassWrappedModel
methods/pt_map/evaluation/save_plk.py:32
↓ 1 callersClassdistLinear
models/res_mixup_model.py:34
ClassBasicBlock
models/res_mixup_model.py:60
ClassBasicBlock
models/wrn_mixup_model.py:18
ClassBasicBlock
models/resnet12.py:17
ClassCIFAR
datasets/cifar.py:8
ClassCUB
datasets/cub.py:17
ClassDataManager
methods/pt_map/data/datamgr.py:44
ClassEpisodicBatchSampler
methods/pt_map/data/dataset.py:83
ClassImageJitter
methods/pt_map/data/additional_transforms.py:15
ClassMetricLogger
utils.py:340
ClassMiniImageNet
datasets/mini_imagenet.py:8
ClassModel
methods/pt_map/test_standard.py:45
ClassModel
methods/pt_map/evaluation/test_standard.py:48
ClassPTMAPLoss
methods/pt_map/pt_map_loss.py:112
ClassProtoLoss
Prototypical loss function
methods/prototypical/proto_loss.py:7
ClassSetDataset
methods/pt_map/data/dataset.py:34
Classbcolors
utils.py:279
ClassdistLinear
models/wrn_mixup_model.py:46