dimensionality-reduction

Uniform Manifold Approximation and Projection

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

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

A curated list of community detection research papers with implementations.

Text Classification Algorithms: A Survey

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Extensible, parallel implementations of t-SNE

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

Minimum-distortion embedding with PyTorch

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

Machine Learning notebooks for refreshing concepts.

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

Dimensionality reduction in very large datasets using Siamese Networks

An R package implementing the UMAP dimensionality reduction method.

JavaScript implementation of UMAP

Using siamese network to do dimensionality reduction and similar image retrieval

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

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

Deep Learning sample programs using PyTorch in C++

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