Popular GitHub Repositories for Clustering

An open-source, low-code machine learning library in Python

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

A Julia machine learning framework

Interact, analyze and structure massive text, image, embedding, audio and video datasets

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

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

Tribuo - A Java machine learning library

A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

A list of references on lidar point cloud processing for autonomous driving

Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.

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

Variational Recurrent Autoencoder for timeseries clustering in pytorch

Implementation of Slot Attention from GoogleAI

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]

CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View