Clustering Open Source Projects

scikit-learn: machine learning in Python

Node.js/Bun Production Process Manager with a built-in Load Balancer.

Vitess is a database clustering system for horizontal scaling of MySQL.

AI Observability & Evaluation

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Postgres with GPUs for ML/AI apps.

Statistical Machine Intelligence & Learning Engine

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin

A Rust machine learning framework.

:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

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

Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Marker Clustering plugin for Leaflet

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Maps SDK for Android Utility Library

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A high performance implementation of HDBSCAN clustering.

Methods and Implements of Deep Clustering

Open Content for self-directed learning in data science

Scalable game server framework with clustering support and client libraries for iOS, Android, Unity and others through the C SDK.

A curated list of community detection research papers with implementations.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

A very fast geospatial point clustering library for browsers and Node.

A high-level machine learning and deep learning library for the PHP language.

Automatic cluster formation/healing for Elixir applications

MMseqs2: ultra fast and sensitive search and clustering suite

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

Job scheduler and rate limiter, supports Clustering

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

MooseFS Distributed Storage – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System / Software-Defined Storage

A Julia machine learning framework

Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

eBPF based cloud-native load-balancer for Kubernetes|Edge|Telco|IoT|XaaS.

Deep Clustering for Unsupervised Learning of Visual Features

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Machine Learning in R

General Assembly's 2015 Data Science course in Washington, DC

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

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

Make Complex Heatmaps

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

Tribuo - A Java machine learning library

High-performance map clustering with MapKit for iOS and OS X. Integrate with 4 lines of code.

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

A comprehensive list of awesome contrastive self-supervised learning papers.

Easy Map Annotation Clustering 📍

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

Foldseek enables fast and sensitive comparisons of large structure sets.

Easy clustering, registration, and distribution of worker processes for Erlang/Elixir

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

Time series distances: Dynamic Time Warping (fast DTW implementation in C)

pyclustering is a Python, C++ data mining library.

Collection of various algorithms implemented in R.

A lean C++ library for working with point cloud data