346 Open source projects that are alternatives of or similar to Gsdmm

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

The docker for lithosphere project

Hazelcast IMDG Node.js Client

📜 Self-Supervised Learning from Images: Up-to-date reading list.

Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms - R package

Hazelcast IMDG C++ Client

The repository provides usefull python scripts for ML and data analysis

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.

Cluster RabbitMQ (official docker image)

Machine Learning & Data Mining with JRuby

Email clustering with machine learning

A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

Micro framework for Node.js

Job scheduler and rate limiter, supports Clustering

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.

Fast and scalable spike sorting in python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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.

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

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.

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Compressing Representations for Self-Supervised Learning

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

A simple python implementation of Fuzzy C-means algorithm.

Get a consensus recipe for your next meal. 🍪 🍰

Clustering for arbitrary data and dissimilarity function

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

Implementation of different techniques to find insights from the satellite data using Python.

Run multiple micro servers and a front proxy at a time

MOB-suite: Software tools for clustering, reconstruction and typing of plasmids from draft assemblies

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

Machine learning. Clustering by fast search and find of density peaks.

This repository consists of all my Machine Learning Projects.

Repository for *SEM Paper on Event Coreference Resolution in ECB+

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

fast clustering algorithms

R/shiny interface for interactive visualization of data in SummarizedExperiment objects

Advanced Developer Async Programming Toolkit

Una introduccion al analisis de datos con R y R Studio

Python implementation of bag-of-concepts

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

Watset: Automatic Induction of Synsets from a Graph of Synonyms

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

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Implementation of Slot Attention from GoogleAI

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

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

A scikit-learn based module for multi-label et. al. classification

A web-based GUI for managing and monitoring the Pacemaker High-Availability cluster resource manager

ELKI Data Mining Toolkit

A robust and fast clustering method for amplicon-based studies

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

A high performance implementation of HDBSCAN clustering.

机器学习与深度学习算法示例

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

High-performance FlexSearch Server for Node.js (Cluster)

A news recommendation system tailored for user communities

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

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