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PML
The easiest way to use deep metric learning in your application
This library contains 9 modules, each of which can be used independently within your existing codebase, or combined together for a complete train/test workflow. To compute the loss in your training loop, pass in the embeddings computed by your model, and the corresponding labels. The embeddings should have size (N, embedding_size), and the labels should have size (N), where N is the batch size. The TripletMarginLoss computes all possible triplets within the batch, based on the labels you... -
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This is intended as an open-source, multi-platform link diagramming tool for intelligence analysis. The goal is to be able to store objects using any database abstraction or in XML. This project needs much wheel reinvention, so assistance is welcome.
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