supervised-clustering

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google /uis-rnn

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

machine-learning clustering supervised-learning speaker-recognition speaker-diarization supervised-clustering uis-rnn

UpdatedSep 25, 2024
Python

FlorianKrey /DNC

Star79

Discriminative Neural Clustering for Speaker Diarisation

machine-learning clustering speech-processing speaker-diarization university-of-cambridge supervised-clustering

UpdatedApr 8, 2022
Python

mickeysjm /SynSetMine-pytorch

Star67

PyTorch implementation of paper "Mining Entity Synonyms with Efficient Neural Set Generation" in AAAI 2019

pytorch supervised-clustering synonym-discovery synonym-dataset

UpdatedNov 26, 2021
Python

iesl /expLinkage

Star10

Supervised hierarchical clustering

hac hierarchical-clustering agglomerative-clustering supervised-clustering

UpdatedApr 25, 2020
Python

ndgigliotti /cluster-optimizer

Star4

A GridSearchCV-like hyperparameter optimizer for clustering (no cross-validation).

clustering scikit-learn hyperparameter-optimization hyperparameter-tuning clustering-evaluation hyperparameter-search unsupervised-clustering transductive-learning supervised-clustering

UpdatedDec 19, 2022
Jupyter Notebook

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.

distributed-computing community-detection community-detection-algorithm automl supervised-machine-learning supervised-clustering community-detection-evaluation community-detection-algorithms

UpdatedJul 6, 2023
Python

jokofa /NCC

Star2

Neural Capacitated Clustering

machine-learning deep-learning clustering research-paper supervised-clustering capacitated-vehicle-routing-problem capacitated-clustering-problem ijcai2023

UpdatedSep 25, 2024
Jupyter Notebook

afairless /binary_classification_shap

Star0

Run histogram-based gradient boosted trees binary classifier on generated data and interpret results with standard metrics, SHAP, and supervised clustering

python machine-learning scikit-learn python3 roc-curve hyperparameter-tuning binary-classification gradient-boosting-classifier hierarchical-clustering feature-importance dendrogram precision-recall-curve shap supervised-clustering shapley-value lightgbm-classifier polars

UpdatedJun 9, 2025
Python

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