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disent🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
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tf retrieval baselineA Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.
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triplet-loss-pytorchHighly efficient PyTorch version of the Semi-hard Triplet loss ⚡️
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advrankAdversarial Ranking Attack and Defense, ECCV, 2020.
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HardnetHardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
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