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ShichenLiu
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CondenseNet
CondenseNet: Light weighted CNN for mobile devices
MIT License
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RuntimeError: INDICES element is out of DATA bounds
#41
MohBarbary
opened
2 years ago
0
Issues with PyTorch 1.9.0
#40
jakobjackson2016
closed
3 years ago
0
Questions on implementation of dropping
#39
shuuchen
opened
3 years ago
0
What are the Training Arguments for ImageNet Pre-Trained Model?
#38
LeighDavis
opened
3 years ago
5
Testing on ARM without CUDA and GPU
#37
LeighDavis
closed
3 years ago
0
Request to update to PyTorch Version 1.6.0 (Latest)
#36
jakobjackson2016
closed
3 years ago
2
+FDC (full dense connectivity) version
#35
kimsu55
opened
3 years ago
0
How to run Condensenet without GPU?
#34
jakobjackson2016
closed
3 years ago
0
Create generate_plot_class.py
#33
lizhenstat
closed
4 years ago
0
Question on CondensingLinear
#32
lizhenstat
closed
4 years ago
1
condensenet-86 parameters number different from torchsummary
#31
lizhenstat
closed
4 years ago
2
dropout before convolution layer
#30
lizhenstat
closed
4 years ago
2
Group lasso regularization effect for ImageNet
#29
lizhenstat
closed
4 years ago
2
CondeseNet-182* on Cifar100 validation 1 error rate is 19.73% where in paper is 18.47%
#28
lizhenstat
closed
3 years ago
6
is_best defining problem
#27
lizhenstat
closed
4 years ago
0
Question on clamp
#26
lizhenstat
closed
4 years ago
2
Question on dropping function
#25
lizhenstat
closed
4 years ago
3
Question on CondensingConv from layers.py
#24
lizhenstat
closed
4 years ago
1
cuda runtime error (11) : invalid argument at /pytorch/aten/src/THC/THCGeneral.cpp:383 I have only one 2080ti,but I encounter this bug, could you give me some suggestions,please?
#23
jwnirvana
opened
5 years ago
1
the version of pytorch
#22
jqsun98
opened
5 years ago
1
Training Time issue when training Condensenet-light on cifar100
#21
infrontofme
closed
5 years ago
3
Accuracy in comparison with DenseNet?
#20
John1231983
closed
5 years ago
1
Lambda value for group lasso
#19
kumasento
closed
5 years ago
4
Pretrained models
#18
ArsenLuca
closed
5 years ago
2
Full Dense Connectivity
#17
ghost
closed
5 years ago
1
Error message: variables needed for gradient computation has been modified by an inplace operation
#16
nauman46055
opened
5 years ago
1
Transfer-learning with CondenseNet
#15
BDimitri
opened
6 years ago
1
Dropping issue with pytorch v0.4
#14
Cadene
closed
6 years ago
4
some minor change related to evaluation
#13
ironfist2
closed
6 years ago
0
_dropping
#12
maple1217
closed
6 years ago
0
Architecture of CondenseNet{light-160*, 182*, light-94, 84}
#11
geevi
closed
5 years ago
11
Cuda runtime error ClassNLLCriterion assertion
#10
vponcelo
closed
5 years ago
1
Running pretrained networks
#9
lolz0r
closed
6 years ago
1
about the inference time
#8
NHZlX
opened
6 years ago
0
No shuffle layer when training condensenet?
#7
hiyijian
closed
6 years ago
4
Some concerns of approach to prune network.
#6
haithanhp
closed
6 years ago
1
Out of memory issue when training a new dataset
#5
vponcelo
closed
6 years ago
8
object detection using condensenet?
#4
kaishijeng
opened
6 years ago
1
DenseNet-121 is faster than CondenseNet-74 (C=G=4) on GTX 1080 Ti
#3
ivankreso
opened
6 years ago
3
Testing on ARM
#2
melgor
closed
6 years ago
1
How about speed in pytorch implementation
#1
gaopeng-eugene
closed
6 years ago
2