gaussian-mixture-model
Gaussian clustering model
An implementation of an unsupervised machine learning algorithm using multivariate Gaussian mixture models.
Unsupervised machine learning with multivariate Gaussian mixture model which supports both offline data and real-time data stream.
26 stars
3 watching
1 forks
Language: JavaScript
last commit: over 1 year ago
Linked from 1 awesome list
josephmisiti/awesome-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 davidavdav/gaussianmixtures.jl | A package implementing a Gaussian Mixture Model (GMM) algorithm for large-scale data analysis | 99 |
 sheffieldml/multigp | Software for modeling and prediction with multiple output Gaussian processes | 48 |
 jaxgaussianprocesses/gpjax | Provides a low-level interface to Gaussian process models in JAX for flexible extension and customisation | 467 |
 openai/pixel-cnn | A generative model with tractable likelihood and easy sampling, allowing for efficient data generation. | 1,921 |
 ivanseidel/gaussian | A C++ library that simplifies the use of Gaussians in signal processing applications. | 53 |
 ziatdinovmax/gpim | An open-source Python package for applying Gaussian processes to images and hyperspectral data for reconstruction and Bayesian optimization. | 57 |
 kalvar/ios-krkmeans-algorithm | K-Means clustering algorithm implementation with multi-dimensional support and customizable features | 23 |
 xuyxu/clustering | This repository provides implementations of various clustering and subspace clustering algorithms in MATLAB, including K-means, ISODATA, Mean Shift, DBSCAN, Gaussian Mixture Model, LVQ, Subspace Clustering Algorithms like Subspace K-means and Entropy-Weighting Subspace K-means. | 227 |
| sheffieldml/gpmat | A Matlab toolbox providing implementations of Gaussian processes and other machine learning tools. | 135 |
 stor-i/gaussianprocesses.jl | A Julia package that provides a flexible nonparametric tool for modeling data using Gaussian Processes | 307 |
 xiaoyang-rebecca/patternrecognition_matlab | An investigation into feature reduction and classification methods for pattern recognition using various techniques such as PCA, LDA, and SVM. | 71 |
 pku-yuangroup/moe-llava | A large vision-language model using a mixture-of-experts architecture to improve performance on multi-modal learning tasks | 2,023 |
 simonkohl/probabilistic_unet | Reimplementation of a neural network model for conditional segmentation of ambiguous images | 548 |
 t-vi/candlegp | Gaussian process modeling in PyTorch using a ported version of the GPFlow library | 75 |
 fabprezja/keras-gpt-copilot | An LLM-based tool to assist deep learning model development | 28 |