522 Open source projects that are alternatives of or similar to ParallelKMeans.jl

A C++ implementation of simple k-means clustering algorithm.

🍡 文本聚类 k-means算法及实战

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

Analysis kit for large-scale structure datasets, the massively parallel way

k-means clustering in Ruby

🎨 Apply color quantization to images using k-means clustering.

Machine Learning Course @ Santa Clara University

A fun study of some heuristics for the Travelling Salesman Problem.

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A repository of resources for understanding the concepts of machine learning/deep learning.

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

No description or website provided.

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

Climate science package for Julia

The primary source code repository for PHCpack, a software package to solve polynomial systems with homotopy continuation methods.

GARDENIA: Graph Analytics Repository for Designing Efficient Next-generation Accelerators

Cluster management for Discord bots using the Eris library.

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Implementation of a Quantum inspired genetic algorithm proposed by A quantum-inspired genetic algorithm for k-means clustering paper.

ST-DBSCAN: Simple and effective tool for spatial-temporal clustering

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools

tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

A simple C# class using Watson TCP to enable a one-to-one high availability cluster.

Shape Aware Parallel Mesh Simplification Algorithm

QUICK: A GPU-enabled ab intio quantum chemistry software package

Modeling molecular ensembles with scalable data structures and parallel computing

Light-weight header-only library for parallel function calls and continuations in C++ based on Eric Niebler's talk at CppCon 2019.

corebench - run your benchmarks against high performance computing servers with many CPU cores

Resolver Sudoku de genina.com

Visual exploration of clustered data.

Algorithms implemented in CUDA + resources about GPGPU

A R framework for pipeline benchmarking, with application to single-cell RNAseq

R package to provide foreach looping construct

implement distributed machine learning with Pytorch + OpenMPI

Flexible, extensible fuzzy c-means clustering in python.

Julia Devito inversion.

Golang Utilities for Data Analysis

Different clustering approaches applied on different problemsets

Fuzzy c-means Clustering

Single cell type annotation guided by cell atlases, with freedom to be queer

Proto Actor - Ultra fast distributed actors

Heart Disease prediction using 5 algorithms

Dirichlet Process K-means

C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Rcpp Machine Learning: Fast robust NMF, divisive clustering, and more

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Traveling Salesman Problem Using Parallel Genetic Algorithms

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

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Manage AWS ParallelCluster through an easy to use web interface

Core functionality for the MLJ machine learning framework

ssdeep cluster analysis for malware files

Learning and practice of high performance computing (CUDA, Vulkan, OpenCL, OpenMP, TBB, SSE/AVX, NEON, MPI, coroutines, etc. )

Parallel algorithms and data structures for tree-based AMR with arbitrary element shapes.

A realtime visual programming language for interactive media.

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

Hazelcast .NET Client

The PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.