70 Open Source Efficientnet Software Projects

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

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

Google Brain AutoML

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

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

High level network definitions with pre-trained weights in TensorFlow

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

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

A treasure chest for visual recognition powered by PaddlePaddle

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

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

yolov3 with mobilenetv2 and efficientnet

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

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

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

face recognition training project(pytorch)

Bridging the gap Between Stability and Scalability in Neural Architecture Search

CNN image classifier implemented in Keras Notebook 🖼️.

基于MobileNetV2/EfficientNet-b0/... + LSTM + CTC的不定长图像识别训练pytorch框架

Transfer Learning with EfficientNet in Keras

A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder

Training examples and results for ImageNet(ILSVRC2012)/COCO2017/VOC2007+VOC2012 datasets.Include ResNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLO series.

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

detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn

Gluon implementation of EfficientNet and EfficientNet-lite

Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights.

Insightface Keras implementation

Pytorch implementation of RetinaNet using EfficientNets as feature extractor or backbone network.

A collection of deep learning models (PyTorch implemtation)

Repository containing scripts to train and test a neural network whose goal is to detect presence of COVID-19

A tensorflow2 implementation of EfficientNet.

Keras Implementation of Unet with EfficientNet as encoder

PyTorch Implementation of the state-of-the-art model for object detection EfficientDet [pre-trained weights provided]

A Gluon Implement of EfficientNet

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

VoVNet, MobileNet, ShuffleNet, HarDNet, GhostNet, EfficientNet backbone networks and SKU-110K dataset for detectron2

Concise, Modular, Human-friendly PyTorch implementation of MixNet with Pre-trained Weights.

Neural-Backed Decision Tree sample integration with pytorch-image-models

Combines the SSL Method MixMatch with a pre-trained model (EfficientNet) on a chest x-ray dataset.

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

Using efficientnet to provide embeddings for retrieval

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

PyTorch implementation of EfficientNetV2 family

tensorflowJS implementation of EfficientNet 🚀

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

Image classification: efficientnet/resnest/seresnext/.....

R interface to fast.ai

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Multi-label classification based on timm.

Using deep learning models for image classification directly on the HoloLens 2.

Some parts of my code for the Computer Vision Kaggle Bengali AI Handwritten Grapheme Classification competition

2020/2021 HKUST CSE FYP Masked Facial Recognition, developer: Sam Yuen, Alex Xie, Tony Cheng

Summary & Implementation of Deep Learning research paper in Tensorflow/Pytorch.

Jittor Image Models is a library for pulling together a wide variety of SOTA deep learning models in the Jittor framework.

EfficientNet-Absolute Zero for Continuous Speech Keyword Spotting

🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

PyTorch implementation of some FPN-based semantic segmentation architectures: vanilla FPN, Panoptic FPN, PANet FPN; with ResNet and EfficientNet backbones.

Pytorch implementation of vision models.

Pytorch implementation of EfficientNet Lite variants

Towards General Purpose, Geometry Preserving Single-View Depth Estimation https://arxiv.org/abs/2009.12419

Towards context-aware head-mounted display-based augmented reality for surgical guidance.

An efficient and multi-scale feature fusion behavior recognition algorithm

Food detection using YOLOv5 on images, videos, youtube urls. Also analyze nutrients of meal in the image. Support on web and android app.

Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.

EfficientNet implementation in Julia

classification bird species