A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"
-
Updated
Oct 20, 2021 - Python
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"
CoAtNet for Tensorflow2
Fast API Endpoint!. This project examines, analyses the malware statically & dynamically using conventional strategies and also apply machine learning algorithms lke lightgbm, svm and deep learning algorithms like CoAtNet, LSTM. FrontEnd App is Antivirus built on Tauri
A project for lung disease detection and analysis using deep learning. It includes lung segmentation, disease classification, and severity localization with Grad-CAM for visual explanations. This repository provides code, datasets, and documentation for replication and further research.
CoAtXNet: Cross-Attention Strategy for Utilizing RGB-D Images for Camera Localization
CoHAtNet: An Integrated Convolution-Transformer Architecture for End-to-End Camera Localization
Add a description, image, and links to the coatnet topic page so that developers can more easily learn about it.
To associate your repository with the coatnet topic, visit your repo's landing page and select "manage topics."