efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

人工智障本地图片检索工具 | An EfficientNet based image retrieval tool

Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"

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

Pytorch implementation of EfficientNet Lite variants

Pytorch implementation of vision models.

Source code of top 3% solution for the Kaggle APTOS 2019 Blindness Detection challenge.

COVID-19 Detection through Xray scans and Efficientnet

Обучение классификаторов на основе сверточных сетей

COVID-19 detection though Xray data and the Efficientnet AutoML architecture

PyTorch code for cross-modal-retrieval on Flickr8k/30k using Bert and EfficientNet

X-ray photographs of representative lung diseases, Lung Opacity and COVID-19, will be classified as deep learning, and patient disease will be classified with minimal Cost by detecting each disease site.

Using a pre-trained efficientnet (for experimental purposes) to classifier plant diseases given an image. Plant village challenge dataset.

pytorch implementations of several image classification models. Includes googlenet, resnet, inceptionV3, densenet, mobilenetV1, mobilenetV2, senet, efficientnetV1, etc.

VRDL HW1 in 2021 Fall semester at NYCU

StyleGAN2-ADA for generation of synthetic skin lesions

Final project of VRDL course in 2021 fall semester at NYCU.