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github.com/JIA-Lab-research/BAL
/ functions
Functions
214 in github.com/JIA-Lab-research/BAL
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Functions
214
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Types & classes
54
Method
__init__
(self, block, in_channels, out_channels, level=1, stride=1)
models/dla.py:54
Method
__init__
(self)
models/lenet.py:6
Method
__init__
(self, num_blocks, cardinality, bottleneck_width, num_classes=10)
models/resnext.py:41
Method
__init__
(self, in_planes, out_planes, kernel_size, stride)
models/pnasnet.py:12
Method
__init__
(self, in_planes, out_planes, stride=1)
models/pnasnet.py:41
Method
__init__
(self, cell_type, num_cells, num_planes)
models/pnasnet.py:72
Method
__init__
(self, in_planes, planes, stride=1)
models/senet.py:11
Method
__init__
(self, in_planes, planes, stride=1)
models/senet.py:46
Method
__init__
(self, last_planes, in_planes, out_planes, dense_depth, stride, first_layer)
models/dpn.py:8
Method
__init__
(self, in_planes, growth_rate)
models/densenet.py:10
Method
__init__
(self, in_planes, out_planes)
models/densenet.py:25
Method
__init__
(self, num_classes=10)
models/mobilenet.py:30
Method
__init__
(self, groups=2)
models/shufflenetv2.py:11
Method
__init__
(self, ratio)
models/shufflenetv2.py:23
Method
__init__
(self, in_channels, split_ratio=0.5)
models/shufflenetv2.py:33
Method
__init__
(self, net_size)
models/shufflenetv2.py:97
Method
__init__
(self, vgg_name, num_classes=10, pretrained=False)
models/vgg.py:16
Method
__init__
(self, groups)
models/shufflenet.py:11
Method
__init__
(self, cfg)
models/shufflenet.py:52
Method
__init__
(self, in_planes, planes, stride=1)
models/dla_simple.py:19
Method
__init__
(self, block, in_channels, out_channels, level=1, stride=1)
models/dla_simple.py:59
Method
__init__
(self, block=BasicBlock, num_classes=10)
models/dla_simple.py:79
Method
__init__
(self, in_channels, out_channels, kernel_size,
models/efficientnet.py:46
Method
__init__
(self, cfg, num_classes=10)
models/efficientnet.py:108
Method
__init__
(self, num_classes=10)
models/mobilenetv2.py:50
Method
__init__
(self, in_planes, planes, stride=1)
models/preact_resnet.py:41
Method
__init__
(self, block, num_blocks, num_classes=10)
models/preact_resnet.py:66
Method
__init__
(self, in_planes, planes, stride=1)
models/resnet.py:34
Method
__init__
(self, in_planes, planes, stride=1)
models/resnet.py:61
Method
__init__
(self)
models/googlenet.py:57
Method
__init__
(self, w_in, w_out, stride, group_width, bottleneck_ratio, se_ratio)
models/regnet.py:29
Method
__init__
(self, cfg, num_classes=10)
models/regnet.py:69
Method
__len__
(self)
loader.py:24
Method
__len__
(self)
loader.py:62
Method
__len__
(self)
loader.py:113
Method
__len__
(self)
loader.py:132
Function
beijing
(sec)
utils.py:58
Method
forward
(self, x)
models/dla.py:31
Method
forward
(self, xs)
models/dla.py:47
Method
forward
(self, x)
models/dla.py:71
Method
forward
(self, x)
models/dla.py:112
Method
forward
(self, x)
models/lenet.py:14
Method
forward
(self, x)
models/resnext.py:31
Method
forward
(self, x)
models/resnext.py:65
Method
forward
(self, x)
models/pnasnet.py:20
Method
forward
(self, x)
models/pnasnet.py:33
Method
forward
(self, x)
models/pnasnet.py:56
Method
forward
(self, x)
models/pnasnet.py:100
Method
forward
(self, x)
models/senet.py:29
Method
forward
(self, x)
models/senet.py:62
Method
forward
(self, x)
models/senet.py:100
Method
forward
(self, x)
models/dpn.py:27
Method
forward
(self, x)
models/dpn.py:61
Method
forward
(self, x)
models/densenet.py:17
Method
forward
(self, x)
models/densenet.py:30
Method
forward
(self, x)
models/densenet.py:75
Method
forward
(self, x)
models/mobilenet.py:20
Method
forward
(self, x)
models/mobilenet.py:46
Method
forward
Channel shuffle: [N,C,H,W] -> [N,g,C/g,H,W] -> [N,C/g,g,H,w] -> [N,C,H,W]
models/shufflenetv2.py:15
Method
forward
(self, x)
models/shufflenetv2.py:27
Method
forward
(self, x)
models/shufflenetv2.py:48
Method
forward
(self, x)
models/shufflenetv2.py:82
Method
forward
(self, x)
models/shufflenetv2.py:121
Method
forward
(self, x, is_feat=False, is_feats=False)
models/vgg.py:21
Method
forward
Channel shuffle: [N,C,H,W] -> [N,g,C/g,H,W] -> [N,C/g,g,H,w] -> [N,C,H,W]
models/shufflenet.py:15
Method
forward
(self, x)
models/shufflenet.py:41
Method
forward
(self, x)
models/shufflenet.py:75
Method
forward
(self, x)
models/dla_simple.py:36
Method
forward
(self, xs)
models/dla_simple.py:52
Method
forward
(self, x)
models/dla_simple.py:71
Method
forward
(self, x)
models/dla_simple.py:105
Method
forward
(self, x)
models/efficientnet.py:35
Method
forward
(self, x)
models/efficientnet.py:95
Method
forward
(self, x)
models/efficientnet.py:142
Method
forward
(self, x)
models/mobilenetv2.py:32
Method
forward
(self, x)
models/mobilenetv2.py:69
Method
forward
(self, x)
models/preact_resnet.py:28
Method
forward
(self, x)
models/preact_resnet.py:55
Method
forward
(self, x)
models/preact_resnet.py:85
Method
forward
(self, x)
models/resnet.py:51
Method
forward
(self, x)
models/resnet.py:80
Method
forward
(self, x, is_feat=False, is_feats=False)
models/resnet.py:139
Method
forward
(self, x)
models/googlenet.py:48
Method
forward
(self, x)
models/googlenet.py:82
Method
forward
(self, x)
models/regnet.py:20
Method
forward
(self, x)
models/regnet.py:57
Method
forward
(self, x)
models/regnet.py:98
Function
get_class_balanced
class-balanced sampling (pseudo labeling)
main.py:112
Function
get_confidence
default: confidence sampling (pseudo labeling) return 1k samples w/ lowest top1 score
main.py:149
Function
get_entropy
entropy sampling
main.py:171
Function
get_kmeans
k means sampling
main.py:190
Function
get_mean_and_std
Compute the mean and std value of dataset.
utils.py:20
Function
get_random
random sampling
main.py:212
Function
init_params
Init layer parameters.
utils.py:34
Method
nce_prob_cos
(self, feat)
models/resnet.py:119
Function
progress_bar
(current, total, msg=None)
utils.py:86
Function
save
(name, file)
main.py:218
Function
test
()
models/pnasnet.py:119
Function
test
()
models/senet.py:116
Function
test
()
models/dpn.py:92
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