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