lukasruff Deep-SVDD-PyTorch issues

lukasruff / Deep-SVDD-PyTorch

A PyTorch implementation of the Deep SVDD anomaly detection method

MIT License

698 stars 197 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

Training error - ValueError: 'default' must be a list when 'multiple' is true.

#40 tribeband opened 9 months ago
2
How to map scores to predicted labels to compute F1 score with one-class objective

#39 alishan2040 opened 1 year ago
1
Bump certifi from 2018.10.15 to 2022.12.7

#38 dependabot[bot] opened 1 year ago
0
Bump pillow from 5.3.0 to 9.3.0

#37 dependabot[bot] opened 1 year ago
0
Bump ujson from 1.35 to 5.4.0

#36 dependabot[bot] opened 2 years ago
0
Bump numpy from 1.15.2 to 1.22.0

#35 dependabot[bot] opened 2 years ago
0
Bump ujson from 1.35 to 5.2.0

#34 dependabot[bot] closed 2 years ago
1
load pretrained model

#33 shaoxiang777 opened 2 years ago
0
Bump pillow from 5.3.0 to 9.0.1

#32 dependabot[bot] closed 1 year ago
1
Why do not update batchnorm mean and var during training?

#31 RichardChangCA opened 2 years ago
1
Bump pillow from 5.3.0 to 9.0.0

#30 dependabot[bot] closed 2 years ago
1
Seed does not work for autoencoder (not reproducible results)

#29 omid-ghozatlou closed 2 years ago
1
Bump pillow from 5.3.0 to 8.3.2

#28 dependabot[bot] closed 2 years ago
1
Bump pillow from 5.3.0 to 8.2.0

#27 dependabot[bot] closed 2 years ago
1
Bump urllib3 from 1.24.1 to 1.26.5

#26 dependabot[bot] opened 3 years ago
0
python3: can't open file '/content/drive/My Drive/Deep-SVDD-pytorch/src/ main.py cifar10 cifar10_LeNet ../log/cifar10_test ../data --objective one-class --lr 0.0001 --n_epochs 150 --lr_milestone 50 --batch_size 200 --weight_decay 0.5e-6 --pretrain True --ae_lr 0.0001 --ae_n_epochs 350 --ae_lr_milestone 250 --ae_batch_size 200 --ae_weight_decay 0.5e-6 --normal_class 3;': [Errno 2] No such file or directory

#25 yasir269 opened 3 years ago
0
Bump pillow from 5.3.0 to 8.1.1

#24 dependabot[bot] closed 3 years ago
1
init

#23 denix56 closed 3 years ago
0
L2 Normalization

#22 wangyirui closed 3 years ago
0
Center of volume

#21 oattao opened 4 years ago
8
3D data & architectures

#20 ibro45 opened 4 years ago
0
set multiple classes to be normal

#19 wolhandlerdeb opened 4 years ago
0
训练自己数据集时，训练自编码器时的loss特别大，但是在下降，请问可能是什么原因

#18 yokings opened 4 years ago
5
about results(Average AUCs in % with StdDevs (over 10 seeds) )

#17 tommying opened 4 years ago
4
Bump pillow from 5.3.0 to 6.2.0

#16 dependabot[bot] closed 3 years ago
1
Bump urllib3 from 1.24.1 to 1.24.2

#15 dependabot[bot] closed 3 years ago
1
Loading custom datasets

#14 pavanvyn opened 5 years ago
10
PyTorch transforms.Normalize() usage

#13 kumarneelabh13 closed 5 years ago
1
Pre-computed min-max values

#12 kumarneelabh13 closed 5 years ago
2
Performance of DeepSVDD in cifar10

#11 HelloSeeing opened 5 years ago
10
GCN divided by 0

#10 ibopeng opened 5 years ago
1
CIFAR10 example cannot work

#9 tiffany61706 closed 5 years ago
3
About loss function

#8 liujiyuan13 closed 5 years ago
3
[bug fix] handle cifar10

#7 montanier opened 5 years ago
0
Two Questions

#6 Captainsean007 closed 5 years ago
5
Why the "/log/" folder is empty?

#5 ZeyuanYu closed 5 years ago
3
How can I get `min_max` value list in mnist.py?

#4 rightx2 closed 5 years ago
1
Wrong get_radius function

#3 fsk119 closed 5 years ago
2
Data

#2 paranjapeved closed 5 years ago
0
why use conv2d rather than ConvTranspose2d in decoder?

#1 MarStarck closed 5 years ago
1