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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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A test task where I had to add a custom filter from openCV in a convnet and see the results.
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This is the test task for the project Self-Supervised Autoencoder
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Same functionality as thesis repo but with Git Repo code instead of mine.
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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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The CNN model with cifar10 dataset for 2 versions: 1. normalize data with mean-0 and standard deviation-1 2. samples that lie in the unit cube
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