huawei-noah/Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

PythonShelltensorflowpytorchtransformerimagenetconvolutional-neural-networkspretrained-modelsmodel-compressionefficient-inferenceghostnetvision-transformer
This is stars and forks stats for /huawei-noah/Efficient-AI-Backbones repository. As of 28 Apr, 2024 this repository has 3512 stars and 669 forks.

Efficient AI Backbones including GhostNet, TNT (Transformer in Transformer), AugViT, WaveMLP and ViG developed by Huawei Noah's Ark Lab. News Model zoo Citation Other versions News 2022/12/01 The code of NeurIPS 2022 (Spotlight) GhostNetV2 is released at ./ghostnetv2_pytorch. 2022/11/13 The code of IJCV 2022 G-Ghost RegNet is released at ./g_ghost_pytorch. 2022/06/17 The code of NeurIPS 2022 Vision GNN (ViG) is released at ./vig_pytorch. 2022/02/06 Transformer in Transformer (TNT) is selected as...
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