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Reparameterizable Architecture

# Reparameterizable Architecture

Repvgg A1
Apache-2.0
RepVGG-A1 is a lightweight image classification model pre-trained on the ImageNette dataset, designed with a reparameterizable architecture.
Image Classification Transformers
R
frgfm
15
0
Repvgg A0
Apache-2.0
RepVGG-A0 is an efficient convolutional neural network based on the VGG-style architecture, achieving separation between training and inference structures through structural reparameterization techniques to enhance performance.
Image Classification Transformers
R
frgfm
20
0
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