A PyTorch implementation of EfficientNet
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Updated
Apr 8, 2022 - Python
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
Pytorch implementation of EfficientNet Lite variants
Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights.
Age Estimation with PyTorch: Deep Learning for Predicting Age
Toy Project: Classification and Detection of representative lung diseases, Lung Opacity and COVID-19, from X-Ray Radiography.
StyleGAN2-ADA for generation of synthetic skin lesions
pytorch implementations of some DL architectures. Includes googlenet, resnet, inceptionV3, densenet, mobilenetV1, mobilenetV2, senet, efficientnetV1, transformer etc.
Source code of top 3% solution for the Kaggle APTOS 2019 Blindness Detection challenge.
COVID-19 Detection through Xray scans and Efficientnet
PyTorch code for cross-modal-retrieval on Flickr8k/30k using Bert and EfficientNet
Pytorch implementation of vision models.
VRDL HW1 in 2021 Fall semester at NYCU
Repository to archive and document work done for satisfying Capstone Project requirements at Praxis Business School.
Using a pre-trained efficientnet (for experimental purposes) to classifier plant diseases given an image. Plant village challenge dataset.
Обучение классификаторов на основе сверточных сетей
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.
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.
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