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nirschl-lab
/
sngp-models
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Nirschl Lab
9
Image Classification
PyTorch
Safetensors
6 datasets
doi:10.57967/hf/8420
sngp
uncertainty-estimation
out-of-distribution-detection
biomedical-imaging
digital-pathology
histopathology
model-calibration
reliable-ai
arxiv:
2602.02370
License:
mit
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97986f3
sngp-models
/
wong_baseline_resnet18
/
config.json
umeleti
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{
"arch"
:
"resnet18"
,
"num_classes"
:
4
,
"dropout_p"
:
0.5
,
"pretrained"
:
false
,
"model_type"
:
"baseline"
}