Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
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Efficient-AI-Backbones includes a collection of pretrained models such as GhostNet, TNT, and AugViT, designed for tasks involving convolutional neural networks and vision transformers. Developed by Huawei Noah's Ark Lab, this resource supports efficient inference and model compression, making it suitable for researchers and developers working on computer vision applications. The models are available in both PyTorch and TensorFlow formats, facilitating integration into various machine learning workflows.
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- Last commit
- 2 years ago
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HUAWEI Noah's Ark Lab
Working with and contributing to the open source community in data mining, artificial intelligence, and related fields
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