Dimensionality Reduction

Awesome community detectionPython

A curated list of community detection research papers with implementations.

totalVIPython

A Python library for deep probabilistic modeling and analysis of single-cell and spatial omics data.

rumaleRuby

A Ruby machine learning library with a Scikit-Learn-like interface for classification, regression, clustering, and dimensionality reduction.

LargeVisC++

Official implementation of the LargeVis algorithm for visualizing large-scale, high-dimensional data and networks.

SOMPYJupyter Notebook

A Python library implementing Self-Organizing Maps (SOM) with batch training, PCA initialization, and visualization tools.

sequiturPython

A PyTorch library for creating and training autoencoders on sequential data (time series, videos, etc.) in just two lines of code.

MultivariateStatsJulia

A Julia package for multivariate statistics and data analysis, including dimension reduction techniques like PCA and LDA.

somocluC

A massively parallel library for training self-organizing maps on multicore CPUs, GPUs, and clusters with support for dense and sparse data.

clmlCommon Lisp

A high-performance, large-scale statistical machine learning library written in Common Lisp.

Deep Belief Nets for Topic ModelingPython

A Python toolbox using deep belief networks for topic modeling on document data, producing latent representations for content-based recommendation.

manifoldLua

A Torch7 package for manifold learning and dimensionality reduction, including LLE and t-SNE embeddings.

scikit-mdrPython

A scikit-learn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.

PyDMDPython

A Python package for Dynamic Mode Decomposition, providing tools to extract spatiotemporal coherent structures from time-varying datasets.

ManifoldLearningJulia

A Julia package implementing manifold learning and nonlinear dimensionality reduction algorithms.

unsupLua

A Torch package providing unsupervised learning modules and algorithms like autoencoders, PCA, and k-means.

RusticSOMRust

A Rust library for implementing Self-Organizing Maps (SOM) with customizable training and serialization.