390 Open source projects that are alternatives of or similar to gouda

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

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

K-Means 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 catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

A clustering tutorial with scikit-learn for beginners.

DBSCAN Clustering Algorithm C# Implementation

Different clustering approaches applied on different problemsets

Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

c++ implementation of clustering by DBSCAN

[New Version] Theoretically Efficient and Practical Parallel DBSCAN

Implementation of feature engineering from Feature engineering strategies for credit card fraud

Highly parallel DBSCAN (HPDBSCAN)

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.

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

Modeling molecular ensembles with scalable data structures and parallel computing

machine learning algorithms in Swift

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

Animated Visualizations of Popular Machine Learning Algorithms

k-means clustering in Ruby

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

This package has migrated to https://github.com/rezakj/iCellR please use iCellR instead of scSeqR for more functionalities and updates.

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.

Implementation of SOM and GSOM

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.

Visual exploration of clustered data.

Topic modelling on financial news with Natural Language Processing

ssdeep cluster analysis for malware files

Flexible, extensible fuzzy c-means clustering in python.

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

Misc Statistics and Machine Learning codes in R

Golang k-D tree implementation with duplicate coordinate support

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.

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

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

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

Fuzzy c-means Clustering

Cluster management for Discord bots using the Eris library.

This repository is a recommended track, designed to get started with Machine Learning.

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

SyncFlux is an Open Source InfluxDB Data synchronization and replication tool for migration purposes or HA clusters

This project is ABANDONWARE. Use https://www.rabbitmq.com/cluster-formation.html instead.

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

R interface for Fixed Effect Models

Cluster and visualize relationships between anime on MyAnimeList

Trajectory Tracking Project

Dirichlet Process K-means

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

algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network

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

⭐ A Python package for optimal 1D k-means clustering.

Consul-based peer discovery backend for RabbitMQ 3.7.0+

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

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.

Hazelcast .NET Client

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

interactive clustering platform

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

Heart Disease prediction using 5 algorithms