#Clustering
Showing 60 of 186 repositories tagged #clustering, ranked by stars
Build production-ready applications in TypeScript
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
: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.
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.
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A high performance implementation of HDBSCAN clustering.
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 high-level machine learning and deep learning library for the PHP language.
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
A Julia machine learning framework
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
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.
Tribuo - A Java machine learning library
Easy Map Annotation Clustering 📍
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️
pyclustering is a Python, C++ data mining library.
Collection of various algorithms implemented in R.
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
A scikit-learn based module for multi-label et. al. classification
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
A robust streaming log template miner based on the Drain algorithm
ELKI Data Mining Toolkit
InfluxDB Cluster - Open Source Alternative to InfluxDB Enterprise
cuVS - a library for vector search and clustering on the GPU
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
This repository consists of all my Machine Learning Projects.
React Native map clustering both for Android and iOS.
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.
BanditPAM C++ implementation and Python package
Visually cluster your emails by sender, domain, and more to identify waste
Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.
[EMNLP'25 findings] This is the official repo for the paper, HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge.
Sample Docker Swarm cluster stack of tools
Standalone signaling server for Nextcloud Talk.
Implementation of Slot Attention from GoogleAI
Small, lightweight, api-driven dns server.
Distributed and Graph-based Structure from Motion. This project includes the official implementation of our Pattern Recognition 2020 paper: Graph-Based Parallel Large Scale Structure from Motion.
The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
Machine Learning Lectures at the European Space Agency (ESA) in 2018
A Tool for Automatic Analysis of Malware Behavior
A Clustering-enabled map for React Native
Functional Data Analysis Python package
Create clusters of VMs on the cloud and configure them with Ansible.