Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).
What is the Sakib1263/TF-1D-2D-ResNetV1-2-SEResNet-ResNeXt-SEResNeXt GitHub project? Description: "Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
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