benchmark_NN-master.zip
(预估有个68文件)
benchmark_NN-master
AE
.gitkeep
0B
requirement.txt
85B
timeseries
.gitkeep
0B
example
.DS_Store
6KB
requirement.txt
201B
base
matrix.py
456B
helloworld.py
150B
README.md
124B
regression
tmp.py
132B
GAN
.gitkeep
0B
README.md
0B
metric
src
train.py
2KB
utils
logging.py
1KB
dset_functions.py
265B
general.py
3KB
__init__.py
226B
dl_functions.py
3KB
models
__init__.py
197B
resnet.py
1KB
run.py
0B
trainers
BaseTrainer.py
2KB
triplet.py
2KB
__init__.py
468B
arcface.py
7KB
clf.py
5KB
dataset
__init__.py
2KB
mnist.py
3KB
config
triplet.yaml
492B
clf.yaml
470B
mnist.yaml
129B
sample.yaml
492B
arcface.yaml
524B
tests
test_arcface.py
664B
test_model.py
528B
__init__.py
0B
config
triplet.yaml
496B
mnist.yaml
135B
sample.yaml
490B
arcface.yaml
521B
test_dataset.py
812B
test_triplet.py
675B
requirements.txt
215B
storage
.gitignore
0B
regression
.gitkeep
0B
classification
src
train.py
2KB
utils
logging.py
1KB
dset_functions.py
265B
general.py
3KB
__init__.py
226B
dl_functions.py
3KB
models
__init__.py
116B
torchhub.py
1KB
trainers
BaseTrainer.py
2KB
__init__.py
201B
clf.py
5KB
dataset
__init__.py
3KB
config
cifar10.yaml
131B
clf.yaml
471B
mnist.yaml
129B
efficientnetb0.mnist.yaml
487B
sample.yaml
492B
efficientnetb1.mnist.yaml
487B
.gitkeep
0B
tests
test_model.py
512B
__init__.py
0B
test_dataset.py
437B
storage
.gitignore
0B
result
.gitignore
0B
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