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Awesome GitHub RepositoriesTwo-Stream Data Training
Trains embeddings on datasets where anchor and positive or negative samples originate from separate sources.
Distinct from Training Sample Streaming: Distinct from Training Sample Streaming: focuses on two-stream data sources for metric learning, not streaming individual training samples.
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Awesome Two-Stream Data Training GitHub Repositories
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- kevinmusgrave/pytorch-metric-learning
KevinMusgrave/pytorch-metric-learning
6,328在 GitHub 上查看PyTorch Metric Learning is an open-source library for training neural networks to produce similarity-preserving embedding spaces. It provides a modular framework where interchangeable loss functions, mining strategies, and evaluation tools can be composed to learn representations that map similar items to nearby points and dissimilar items to distant points in the embedding space. The library distinguishes itself through a highly configurable architecture that separates concerns across several interchangeable components. Users can assemble custom loss functions from pluggable distance metrics
Trains embeddings on datasets with separate anchor and positive or negative sample sources.
Pythoncomputer-visioncontrastive-learningdeep-learning
