This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
Discriminative Neural Clustering for Speaker Diarisation
PyTorch implementation of paper "Mining Entity Synonyms with Efficient Neural Set Generation" in AAAI 2019
Supervised hierarchical clustering
A GridSearchCV-like hyperparameter optimizer for clustering (no cross-validation).
Super.Complex is a supervised machine learning algorithm for community detection in networks. It learns information from known communities and uses this information to find new communities on the network.
Neural Capacitated Clustering
Run histogram-based gradient boosted trees binary classifier on generated data and interpret results with standard metrics, SHAP, and supervised clustering
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