efficientnet

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Google Brain AutoML

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Bumble's Private Detector - a pretrained model for detecting lewd images

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

(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt

A list of popular deep learning models related to classification, segmentation and detection problems

face recognition training project(pytorch)

PyTorch implementation of EfficientNetV2 family

A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance