MCPcopy Create free account

hub / github.com/ChongjianGE/CARE / types & classes

Types & classes32 in github.com/ChongjianGE/CARE

⨍ Functions 104◇ Types & classes 32
↓ 12 callersClassNormalize
models/resnet_care.py:40
↓ 6 callersClassToRGB
data/transforms.py:7
↓ 4 callersClassGaussianBlur
Gaussian blur augmentation in SimCLR https://arxiv.org/abs/2002.05709
data/transforms.py:17
↓ 4 callersClassTransStack
models/trans.py:235
↓ 3 callersClassAvgMeter
utils/__init__.py:69
↓ 2 callersClassImageNet
data/dataset_lmdb.py:38
↓ 2 callersClassSolarization
data/transforms.py:12
↓ 1 callersClassAttention
models/trans.py:88
↓ 1 callersClassBottleBlock
models/trans.py:167
↓ 1 callersClassCARE
models/care_module.py:13
↓ 1 callersClassExp
exps/arxiv/linear_eval_exp.py:40
↓ 1 callersClassResNet
models/resnet_care.py:158
↓ 1 callersClassResNetWithLinear
exps/arxiv/linear_eval_exp.py:9
↓ 1 callersClassSSL_Dataset
data/dataset_lmdb.py:5
ClassAbsPosEmb
models/trans.py:43
ClassBaseExp
Basic class for any experiment.
exps/arxiv/base_exp.py:7
ClassBasicBlock
models/resnet_care.py:67
ClassBottleneck
models/resnet_care.py:108
ClassCross_Attention
models/trans.py:126
ClassExp
exps/arxiv/linear_eval_exp_care.py:5
ClassExp
exps/arxiv/care_exp.py:12
ClassExp
exps/arxiv/exp_8_v100/care_400e_exp.py:6
ClassExp
exps/arxiv/exp_8_v100/care_200e_exp.py:6
ClassExp
exps/arxiv/exp_8_v100/care_800e_exp.py:6
ClassExp
exps/arxiv/exp_8_v100/care_100e_exp.py:6
ClassImageFolderLMDB
data/folder2lmdb.py:26
ClassImageNet
data/dataset.py:39
ClassLARS_SGD
r"""Implements layer-wise adaptive rate scaling for SGD. Based on Algorithm 1 of the following paper by You, Gitman, and Ginsburg. Large Batch
layers/optimizer.py:7
ClassRelPosEmb
models/trans.py:61
ClassSSL_Dataset
data/dataset.py:4
ClassSimpleBatchNorm1d
models/resnet_care.py:58
ClassSimpleBatchNorm2d
models/resnet_care.py:49