A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"
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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.
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