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Top 346 clustering open source projects

Simpsom
Python library for Self-Organizing Maps
Typescript Restful Starter
Node.js + ExpressJS + Joi + Typeorm + Typescript + JWT + ES2015 + Clustering + Tslint + Mocha + Chai
Deeptemporalclustering
📈 Keras implementation of the Deep Temporal Clustering (DTC) model
Retina Features
Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.
R Course
Una introduccion al analisis de datos con R y R Studio
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.
Fingerprints
Make it easier to compare and cross-reference the names of companies and people by applying strong normalisation.
Refinr
Cluster and merge similar char values: an R implementation of Open Refine clustering algorithms
Swarm
A robust and fast clustering method for amplicon-based studies
Cop Kmeans
A Python implementation of COP-KMEANS algorithm
N2d
A deep clustering algorithm. Code to reproduce results for the paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.
Libcluster
Automatic cluster formation/healing for Elixir applications
Stringlifier
Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.
Supercluster
A very fast geospatial point clustering library for browsers and Node.
Icellr
Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, ST and CITE-seq).
Lithosphere Docker
The docker for lithosphere project
Tgcontest
Telegram Data Clustering contest solution by Mindful Squirrel
Self Supervised Learning Overview
📜 Self-Supervised Learning from Images: Up-to-date reading list.
Pt Sdae
PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
Contrastive Clustering
Code for the paper "Contrastive Clustering" (AAAI 2021)
Text Analytics With Python
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.
Weka Jruby
Machine Learning & Data Mining with JRuby
Ekka
Autocluster and Autoheal for EMQ X Broker
Multilingual Latent Dirichlet Allocation Lda
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
Mnesiac
Mnesia autoclustering made easy!
Bottleneck
Job scheduler and rate limiter, supports Clustering
Dnc
Discriminative Neural Clustering for Speaker Diarisation
Spyking Circus
Fast and scalable spike sorting in python
Protoactor Dotnet
Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
Timeseriesclustering.jl
Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.
Scrattch.hicat
Hierarchical, iterative clustering for analysis of transcriptomics data in R
Kdd2019 k Multiple Means
Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.
Moosefs
MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
Compress
Compressing Representations for Self-Supervised Learning
Swarm
Easy clustering, registration, and distribution of worker processes for Erlang/Elixir
Fuzzy C Means
A simple python implementation of Fuzzy C-means algorithm.
Clusteredbigcache
golang bigcache with clustering as a library.
Flexible Clustering
Clustering for arbitrary data and dissimilarity function
Satellite imagery analysis
Implementation of different techniques to find insights from the satellite data using Python.
K Means Constrained
K-Means clustering - constrained with minimum and maximum cluster size
Mob Suite
MOB-suite: Software tools for clustering, reconstruction and typing of plasmids from draft assemblies
Cytometry Clustering Comparison
R scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
Densitycluster
Machine learning. Clustering by fast search and find of density peaks.
Kitti Track Collection
Data and devtools for the "Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video" paper.
Events
Repository for *SEM Paper on Event Coreference Resolution in ECB+
Clustering
fast clustering algorithms
Data mining
The Ruby DataMining Gem, is a little collection of several Data-Mining-Algorithms
Adapt
Advanced Developer Async Programming Toolkit
Stream
A framework for data stream modeling and associated data mining tasks such as clustering and classification. - R Package
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