🍊 📊 💡 Orange: Interactive data analysis
Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Uci Ml Api
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
Fast and memory-efficient clustering
R Package for Time Series Clustering Along with Optimizations for DTW
This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
GSDMM: Short text clustering
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
Run multiple micro servers and a front proxy at a time
Asynchronous Block-Level Storage Replication
Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms - R package
An open-source library of algorithms to analyse time series in GPU and CPU.
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
R/shiny interface for interactive visualization of data in SummarizedExperiment objects
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
A high performance implementation of HDBSCAN clustering.
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
Practical Machine Learning With 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.
Get a consensus recipe for your next meal. 🍪 🍰
Qlik Py Tools
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Clustering / Subspace Clustering Algorithms on MATLAB
Awesome Single Cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
PyTorch implementation of DEC (Deep Embedding Clustering)
A web-based GUI for managing and monitoring the Pacemaker High-Availability cluster resource manager
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
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 Python implementation of Girvan-Newman algorithm
Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.
Ml Dl Scripts
The repository provides usefull python scripts for ML and data analysis
🏗 Statistical models for biomolecular dynamics 🏗
General Assembly's 2015 Data Science course in Washington, DC
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.
Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering
A Python implementation of k-means clustering algorithm
a cluster solution for Janus WebRTC server, by API proxy approach
Artificial Neural Networks for Scala
Flutter map marker cluster
Provides beautiful animated marker clustering functionality for flutter_map. Inspired by Leaflet.markercluster