rwightman/gen-efficientnet-pytorch
PyTorch implementations of EfficientNet, MobileNetV3, MixNet and other efficient CNN architectures with pretrained weights for image classification.
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This repository provides a collection of efficient convolutional neural network architectures for image classification, including EfficientNet variants, EfficientNet-Lite, MobileNetV2/V3, MixNet, MNASNet, FBNet, and Single-Path NAS. All models are implemented in PyTorch with pretrained weights and support for ONNX and Caffe2 export. The library has been deprecated in favor of the more comprehensive timm library which supersedes it.
Frequently asked
- What is rwightman/gen-efficientnet-pytorch?
- PyTorch implementations of EfficientNet, MobileNetV3, MixNet and other efficient CNN architectures with pretrained weights for image classification.
- Is gen-efficientnet-pytorch open source?
- Yes — rwightman/gen-efficientnet-pytorch is open source, released under the Apache-2.0 license.
- What language is gen-efficientnet-pytorch written in?
- rwightman/gen-efficientnet-pytorch is primarily written in Python.
- How popular is gen-efficientnet-pytorch?
- rwightman/gen-efficientnet-pytorch has 1.6k stars on GitHub.
- Where can I find gen-efficientnet-pytorch?
- rwightman/gen-efficientnet-pytorch is on GitHub at https://github.com/rwightman/gen-efficientnet-pytorch.