504 Open source projects that are alternatives of or similar to Libcluster

Dirichlet Process K-means

A Python implementation of k-means clustering algorithm

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

Cluster and merge similar char values: an R implementation of Open Refine clustering algorithms

Python Framework for Extractive Text Summarization

Machine Learning in R

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

The repository provides usefull python scripts for ML and data analysis

Artificial Neural Networks for Scala

A Python implementation of COP-KMEANS algorithm

Automatic cluster formation/healing for Elixir applications

Node.js + ExpressJS + Joi + Typeorm + Typescript + JWT + ES2015 + Clustering + Tslint + Mocha + Chai

A suite of classification clustering algorithm implementations for Java. A number of partitional, hierarchical and density-based algorithms including DBSCAN, k-Means, k-Medoids, MeanShift, Affinity Propagation, HDBSCAN and more.

📈 Keras implementation of the Deep Temporal Clustering (DTC) model

Fast & scalable MCMC for all your exoplanet needs!

A Python package for building Bayesian models with TensorFlow or PyTorch

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

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

Lightweight and Accurate Point Cloud Clustering

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Machine learning, in numpy

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.

Email clustering with machine learning

Fast and Easy Infinite Neural Networks in Python

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

Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning

Bayes by Backprop implemented in a CNN in PyTorch

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

This project has moved to https://git.dynare.org/Dynare/dynare

Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.

Infer.NET is a framework for running Bayesian inference in graphical models

Code for "A-NICE-MC: Adversarial Training for MCMC"

The base NIMBLE package for R

A Python implementation of Girvan-Newman algorithm

Modular Probabilistic Programming on MXNet

BOPP: Bayesian Optimization for Probabilistic Programs

Una introduccion al analisis de datos con R y R Studio

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Hazelcast IMDG Python Client

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

Make it easier to compare and cross-reference the names of companies and people by applying strong normalisation.

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

A PureScript, browser-based implementation of LDA topic modeling.

a cluster solution for Janus WebRTC server, by API proxy approach

A robust and fast clustering method for amplicon-based studies

🏗 Statistical models for biomolecular dynamics 🏗

机器学习与深度学习算法示例

GPstuff - Gaussian process models for Bayesian analysis

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

Hazelcast IMDG Node.js Client

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Provides beautiful animated marker clustering functionality for flutter_map. Inspired by Leaflet.markercluster

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.

Statistical Rethinking with PyTorch and Pyro

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

A qualitative probabilistic programming language based on ranking theory

A curated list of community detection research papers with implementations.

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available