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"
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
CoAtNet for Tensorflow2
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.
CoHAtNet: An Integrated Convolution-Transformer Architecture for End-to-End Camera Localization
Comparative analysis of EfficientNet, Vision Transformer (ViT), and CoAtNet for fine-grained bird species classification using the CUB-200-2011 dataset.
CoAtXNet: Cross-Attention Strategy for Utilizing RGB-D Images for Camera Localization
To associate your repository with the coatnet topic, visit your repo's landing page and select "manage topics."