efficientnet-pytorch

A PyTorch implementation of EfficientNet

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

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

Age Estimation with PyTorch: Deep Learning for Predicting Age

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

Pytorch implementation of EfficientNet Lite variants

Pytorch implementation of vision models.

Toy Project: Classification and Detection of representative lung diseases, Lung Opacity and COVID-19, from X-Ray Radiography.

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

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

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

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

This project uses a pre-trained EfficientNet model to classify images into different categories. The model is fine-tuned on a custom dataset for this purpose.

Repository to archive and document work done for satisfying Capstone Project requirements at Praxis Business School.

VRDL HW1 in 2021 Fall semester at NYCU

pytorch implementations of some DL architectures. Includes googlenet, resnet, inceptionV3, densenet, mobilenetV1, mobilenetV2, senet, efficientnetV1, transformer etc.

I'm developing an app named BarkRescue, which includes project code, app functionalities, and system architecture. Additionally, I've written three detailed blogs on EfficientNet, YOLOv5, and MobileNet-v2, focusing on their architecture and workings before integrating these models into my project.