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Forked from usuyama/pytorch-unet
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation and two variants: without skip connections and with deep supervision
Jupyter Notebook 2
Radio source classifier with different ML methods (CNN, autoencoders, decision trees, clustering)
Python 1
Docker container for running classification with ViT models on images with the sclassifier-vit module
A collection of scripts to make inference and fine-tuning of LLaVA-like models over radio data
Docker container for running source finding on images with the caesar-yolo module
Radio source classifier with different ML methods (CNN, autoencoders, decision trees, clustering)
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