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Functions127 in github.com/MengyuanChen21/ICLR2024-REDL

⨍ Functions 127◇ Types & classes 13
Functiondict_hash
MD5 hash of a dictionary.
code_classical/utils/io_utils.py:17
Functiondiff_entropy
(alpha, ood_alpha, save_path=None, return_scores=False)
code_classical/utils/metrics.py:374
Functiondist_uncertainty
(alpha, ood_alpha, save_path=None, return_scores=False)
code_classical/utils/metrics.py:414
Functionentropy
(alpha, uncertainty_type, n_bins=10, plot=True)
code_classical/utils/metrics.py:359
Methodfile_ext
(self)
code_fsl/utils/io_utils.py:47
Methodfile_ext
(self)
code_classical/utils/io_utils.py:47
Methodforward
(self, x)
code_fsl/classifier.py:19
Methodforward
(self, x)
code_classical/architectures/resnet_sequential.py:32
Methodforward
(self, x)
code_classical/architectures/resnet_sequential.py:62
Methodforward
(self, x)
code_classical/architectures/vgg_sequential.py:54
Methodforward
(self, x)
code_classical/architectures/alexnet_sequential.py:34
Methodforward
(self, x)
code_classical/architectures/SpectralConv.py:12
Methodforward
(self, x)
code_classical/architectures/SpectralLinear.py:12
Methodforward
(self, input)
code_classical/architectures/convolution_linear_sequential.py:23
Methodforward
(self, input, labels_=None, return_output='alpha', compute_loss=False, epoch=10.)
code_classical/models/ModifiedEvidentialN.py:80
Functionlogger
(*args, **kwargs)
code_classical/utils/io_utils.py:157
Methodlsun
Returns the SVHN dataset, either for training or testing: * Task: classification * Features: XXX * Classes: 10
code_classical/dataset.py:448
Functionrandom_noise_dataset
(n_ways, n_shots, batch_size=10, dims=640, mean=0, sigma=1, bounds=None)
code_fsl/main.py:257
Functionresnet18
(output_dim)
code_classical/architectures/resnet_sequential.py:74
Methodtoy_classification
Generates a 2D toy dataset consisting of three clusters to be used for classification. Each cluster has its own label, two clusters a
code_classical/dataset.py:239
Functionvgg11
VGG 11-layer model (configuration "A")
code_classical/architectures/vgg_sequential.py:89
Functionvgg11_bn
VGG 11-layer model (configuration "A") with batch normalization
code_classical/architectures/vgg_sequential.py:99
Functionvgg13
VGG 13-layer model (configuration "B")
code_classical/architectures/vgg_sequential.py:109
Functionvgg13_bn
VGG 13-layer model (configuration "B") with batch normalization
code_classical/architectures/vgg_sequential.py:119
Functionvgg16
VGG 16-layer model (configuration "D")
code_classical/architectures/vgg_sequential.py:129
Functionvgg19
VGG 19-layer model (configuration "E")
code_classical/architectures/vgg_sequential.py:149
Functionvgg19_bn
VGG 19-layer model (configuration 'E') with batch normalization
code_classical/architectures/vgg_sequential.py:159
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