You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Ross Wightman
2060e433c0
Add native PyTorch weights for SE-MnasNet aka MnasNet-A1
|
5 years ago |
| .. |
|
__init__.py
|
Uniform pretrained model handling.
|
6 years ago |
|
adaptive_avgmax_pool.py
|
Fix pooling in mnasnet, more sensible default for AMP opt level
|
6 years ago |
|
conv2d_same.py
|
Add support for tflite mnasnet pretrained weights and included spnasnet pretrained weights of my own.
|
6 years ago |
|
densenet.py
|
Cleanup model_factory imports, consistent __all__ for models, fixed inception_v4 weight url
|
6 years ago |
|
dpn.py
|
Cleanup model_factory imports, consistent __all__ for models, fixed inception_v4 weight url
|
6 years ago |
|
gen_efficientnet.py
|
Add native PyTorch weights for SE-MnasNet aka MnasNet-A1
|
5 years ago |
|
gluon_resnet.py
|
Cleanup model_factory imports, consistent __all__ for models, fixed inception_v4 weight url
|
6 years ago |
|
helpers.py
|
Add per model crop pct, interpolation defaults, tie it all together
|
6 years ago |
|
inception_resnet_v2.py
|
Cleanup model_factory imports, consistent __all__ for models, fixed inception_v4 weight url
|
6 years ago |
|
inception_v3.py
|
Cleanup model_factory imports, consistent __all__ for models, fixed inception_v4 weight url
|
6 years ago |
|
inception_v4.py
|
Cleanup model_factory imports, consistent __all__ for models, fixed inception_v4 weight url
|
6 years ago |
|
median_pool.py
|
Initial commit, puting some ol pieces together
|
6 years ago |
|
model_factory.py
|
Ported Tensorflow pretrained EfficientNet weights and some model cleanup
|
6 years ago |
|
pnasnet.py
|
Cleanup model_factory imports, consistent __all__ for models, fixed inception_v4 weight url
|
6 years ago |
|
resnet.py
|
Replace ResNet-34 default weights with a great result from my experiments.
|
6 years ago |
|
senet.py
|
Missed a few models in the model/_all_ list for senet
|
6 years ago |
|
test_time_pool.py
|
Add native PyTorch weights for EfficientNet-B0 w/ top-1 > 76.9
|
5 years ago |
|
xception.py
|
Cleanup model_factory imports, consistent __all__ for models, fixed inception_v4 weight url
|
6 years ago |
