Popular GitHub Repositories for Similarity Metric

Learning to Cluster. A deep clustering strategy.

A methodology designed to validate the statistical similarity of synthetic data generated by GAN models. The metrics contain Auto-encoder, PCA, t-SNE, KL-divergence, Clustering, and Cosine Similarity.

[TIP2024] The code of "GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric Learning"