539 Open source projects that are alternatives of or similar to Stream

Process and Analyze Mouse-Tracking Data

<<------ Use SnapATAC!!

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.

A high-level Docker Services management tool built on top of Swarm

Python version of PHLAWD

Ansible role to install Consul (cluster of) server/agent

Machine Learning (EE 5184) in NTU

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

How to deploy a MongoDB Replica Set using Docker

This repository contains the code of Vert.x examples contained in my articles published on platforms such as kodcu.com, medium, dzone. How to run each example is described in its readme file.

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.

c++ implementation of clustering by DBSCAN

color_cloth gets the main colors and its proportions from a cloth image ignoring the background, it uses the EM algorithm from OpenCV library, the algorithm needs an image with an item in the center of the picture.

R interface for Fixed Effect Models

TCyb 2018: Graph learning for multiview clustering

Trajectory Tracking Project

Cluster analysis library for Golang

Efficiently download nflverse data

Code for our ECCV 2018 work.

CRAN Task View: Model Deployment with R

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Software for exploration of gene expression data from single-cell RNA sequencing.

CRAN Task View: Empirical Finance

Parsing, Manipulation, and Visualization of Metabarcoding/Taxonomic data

Implementation of linear CorEx and temporal CorEx.

Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages

R wrapper for highcharts

Tools for multimodal and multilevel network analysis

Fuzzy Hash calculated from import API of PE files

Feature Selection for Clustering

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.

A Clojure machine learning library

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

R package to calculate tide heights

Sample Docker Swarm cluster stack of tools

Codice sorgente ed Errata Corrige del mio libro "A tu per tu col Machine Learning"

Predict gender from Brazilian first names

dmmclust is a package for clustering short texts, based on Yin and Wang (2014)

Miscellaneous R functions

Generic implementation for clustering with deep learning : representation learning (DNN) + clustering

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

A High Performance HTTP Server for Ruby

How to do Unsupervised Clustering with Keras

etcd-based peer discovery backend for RabbitMQ 3.7.0+

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

Scripts used to build R 3.3 - 3.6 on Windows (retired)

Fast and memory-efficient clustering

Reference-free reconstruction and error correction of transcriptomes from Nanopore long-read sequencing

R Package for Time Series Clustering Along with Optimizations for DTW

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

🔧 R package: profmem - Simple Memory Profiling for R

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Aggregate and analyse information on clinical trials from public registers

This repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.

A Suite of Packages for Analysis of Big Genomic Data

forecast package for R

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

ELKI Data Mining Toolkit

Open-source distributed computation and storage platform