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* [TernausNetV2](https://github.com/ternaus/TernausNetV2) - TernausNetV2: Fully Convolutional Network for Instance Segmentation.
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* [TernausNetV2](https://github.com/ternaus/TernausNetV2) - TernausNetV2: Fully Convolutional Network for Instance Segmentation.
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* [TorchGeo](https://github.com/microsoft/torchgeo) - TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.
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* [TorchGeo](https://github.com/microsoft/torchgeo) - TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.
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* [TorchSat](https://github.com/sshuair/torchsat) - TorchSat is an open-source PyTorch framework for satellite imagery analysis.
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* [TorchSat](https://github.com/sshuair/torchsat) - TorchSat is an open-source PyTorch framework for satellite imagery analysis.
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* [tsl](https://github.com/TorchSpatiotemporal/tsl) - PyTorch library for processing spatiotemporal data.
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* [WaterNet](https://github.com/treigerm/WaterNet) - A convolutional neural network that identifies water in satellite images.
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* [WaterNet](https://github.com/treigerm/WaterNet) - A convolutional neural network that identifies water in satellite images.
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* [YOLT](https://github.com/avanetten/yolt) - You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery.
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* [YOLT](https://github.com/avanetten/yolt) - You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery.
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