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.
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Updated
Sep 9, 2024 - Jupyter Notebook
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.
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
Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"
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.
COVID-19 Detection through Xray scans and Efficientnet
StyleGAN2-ADA for generation of synthetic skin lesions
Repository to archive and document work done for satisfying Capstone Project requirements at Praxis Business School.
Pytorch implementation of EfficientNet Lite variants
pytorch implementations of some DL architectures. Includes googlenet, resnet, inceptionV3, densenet, mobilenetV1, mobilenetV2, senet, efficientnetV1, transformer etc.
Pytorch implementation of vision models.
PyTorch implementation of EfficientNet for response prediction
A PyTorch implementation of EfficientNet
Final project of VRDL course in 2021 fall semester at NYCU.
Обучение классификаторов на основе сверточных сетей
VRDL HW1 in 2021 Fall semester at NYCU
Toy Project: Classification and Detection of representative lung diseases, Lung Opacity and COVID-19, from X-Ray Radiography.
Using a pre-trained efficientnet (for experimental purposes) to classifier plant diseases given an image. Plant village challenge dataset.
PyTorch code for cross-modal-retrieval on Flickr8k/30k using Bert and EfficientNet
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