The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT)...
翻译 - PyTorch图像模型，脚本，预训练权重-（SE）ResNet / ResNeXT，DPN，EfficientNet，MixNet，MobileNet-V3 / V2，MNASNet，单路径NAS，FBNet等
Google Brain AutoML
翻译 - Google Brain AutoML
#安卓#NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
翻译 - ⚡超级快速，轻巧的无锚物体检测模型。 1.8仅1.8mb并在手机上运行97FPS🔥
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
翻译 - 具有SOTA实时性能和预先训练的权重的官方有效数据的火炬重实现。
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
翻译 - 具有预训练骨干的细分模型。 Keras和TensorFlow Keras。
#计算机科学#Implementation of EfficientNet model. Keras and TensorFlow Keras.
翻译 - EfficientNet模型的实现。 Keras和TensorFlow Keras。
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
翻译 - EfficientDet的PyTorch表示忠实于原始的Google带有权重的表示
Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS
翻译 - 预先训练的EfficientNet，MixNet，MobileNetV3，MNASNet A1和B1，FBNet，单路径NAS
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
翻译 - 实施EfficientDet：PyTorch中的可扩展且高效的对象检测
Bumble's Private Detector - a pretrained model for detecting lewd images
#计算机科学#High level network definitions with pre-trained weights in TensorFlow
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
翻译 - 餐点V2：在没有技巧的情况下将ImageNet上的Vanilla ResNet-50提高到80％+ Top-1准确性
#计算机科学#(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH
翻译 - （提供预训练的权重）EfficientDet：Signatrix GmbH可扩展且高效的对象检测实施
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
#Awesome#A list of popular deep learning models related to classification, segmentation and detection problems
#人脸识别#face recognition training project(pytorch)
PyTorch implementation of EfficientNetV2 family
#计算机科学#📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
翻译 - Mobile MobileNetV3的PyTorch实现，用于实时语义分段，具有最先进的性能
#计算机科学#A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."
翻译 - PyTorch的“ EfficientNet：卷积神经网络模型缩放的重新思考”实现。
#计算机科学#🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation 🍞🍖🍕