lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet, a convolutional neural network architecture for image classification.
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This repository provides a PyTorch implementation of EfficientNet, a family of efficient and scalable convolutional neural network architectures for image classification. It includes pretrained models on ImageNet with support for feature extraction. The implementation supports loading various EfficientNet variants including the original EfficientNet and the newer EfficientNetV2, with optional adversarial training (advprop) preprocessing.
Frequently asked
- What is lukemelas/EfficientNet-PyTorch?
- A PyTorch implementation of EfficientNet, a convolutional neural network architecture for image classification.
- Is EfficientNet-PyTorch open source?
- Yes — lukemelas/EfficientNet-PyTorch is open source, released under the Apache-2.0 license.
- What language is EfficientNet-PyTorch written in?
- lukemelas/EfficientNet-PyTorch is primarily written in Python.
- How popular is EfficientNet-PyTorch?
- lukemelas/EfficientNet-PyTorch has 8.2k stars on GitHub.
- Where can I find EfficientNet-PyTorch?
- lukemelas/EfficientNet-PyTorch is on GitHub at https://github.com/lukemelas/EfficientNet-PyTorch.