wq2012 / SpectralCluster

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

Date Created 2019-01-18 (5 years ago)

Commits 172 (last one about a month ago)

Stargazers 509 (0 this week)

Watchers 19 (0 this week)

Forks 73

License apache-2.0

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RepositoryStats indexes 579,555 repositories, of these wq2012/SpectralCluster is ranked #88,966 (85th percentile) for total stargazers, and #116,117 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #14,553/115,123.

wq2012/SpectralCluster is also tagged with popular topics, for these it's ranked: python (#4,642/21870), machine-learning (#1,986/7877)

Other Information

wq2012/SpectralCluster has Github issues enabled, there is 1 open issue and 44 closed issues.

There have been 4 releases, the latest one was published on 2021-09-27 (3 years ago) with the name Custom affinity_function and post_eigen_cluster_function.

Homepage URL: https://google.github.io/speaker-id/publications/LstmDiarization/

All Topics

python auto-tune clustering machine-learning speaker-diarization spectral-clustering unsupervised-learning constrained-clustering unsupervised-clustering

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62 commits on the default branch (master) since jan '22

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updated: 2024-10-23 @ 12:14am, id: 166451886 / R_kgDOCevarg