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Encoder decoder architecture for semantic segmentation .Encoder consists of a pretrained resnet18 and the decoder is composed of multiple layers of transposed convolution.
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This is mmdetection library that implements deformable convolution neural networks. With this library I can use attention layers with mmdetection implemented in pytorch
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Code, information, ideas and other shenanigans concerning 2018s RecSys challenge.
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Machine Learning models for classifying text according to the 17 Sustainable Development Goals
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fully-connected autoencoder in Pytorch for the CIFAR 10
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This is the test task for the project Self-Supervised Autoencoder
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