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pytorch-UNet2D and 3D UNet implementation in PyTorch.
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EfficientUNetPlusPlusDecoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while being significantly more computationally efficient.
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image-segmentationMask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
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Mirror#1 Open Source Unity Networking Library
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Keras UnetHelper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
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Eye In The Sky Satellite Image Classification using semantic segmentation methods in deep learning
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Unity FastpacedmultiplayerFeatures a Networking Framework to be used on top of Unity Networking, in order to implement an Authoritative Server with Lag Compensation, Client-Side Prediction/Server Reconciliation and Entity Interpolation
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