dimensionality-reduction

Uniform Manifold Approximation and Projection

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

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

A curated list of community detection research papers with implementations.

Text Classification Algorithms: A Survey

Extensible, parallel implementations of t-SNE

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

A repository of pretty cool datasets that I collected for network science and machine learning research.

Minimum-distortion embedding with PyTorch

Machine Learning notebooks for refreshing concepts.

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

JavaScript implementation of UMAP

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

An R package implementing the UMAP dimensionality reduction method.

Dimensionality reduction in very large datasets using Siamese Networks

Functional Data Analysis Python package

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

Using siamese network to do dimensionality reduction and similar image retrieval

Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen

Deep Learning sample programs using PyTorch in C++