A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
MIT License
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Published by narumiruna 5 months ago
Flops counter for convolutional networks in pytorch framework
Official Implementation of 'Fast AutoAugment' in PyTorch.
Classification with PyTorch.
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
95.47% on CIFAR10 with PyTorch
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PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xceptio...
Toolbox for vision tasks. Pre-trained vision backbones on ImageNet with PyTorch Lightning 🚀
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, S...
