dimension-reduction

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 flexible and efficient С++ template library for dimension reduction

R/shiny interface for interactive visualization of data in SummarizedExperiment objects

A fast xgboost feature selection algorithm

Deep learning meets molecular dynamics.

Randomized Dimension Reduction Library

A header-only C++ library for sketching in randomized linear algebra

Randomized Matrix Decompositions using R

Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."

Sparse Principal Component Analysis (SPCA) using Variable Projection

Fast k-Nearest Neighbors Classifier for Large Datasets

Dimension Reduction and Estimation Methods

A fast, scalable and light-weight C++ Fréchet and DTW distance library, exposed to python and focused on clustering of polygonal curves.

Dimension reduced surrogate construction for parametric PDE maps

Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.

R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)

Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm

Image Classification with Perceptron and LDA and PCA dimension reduction

Statistical quality evaluation of dimensionality reduction algorithms

A novel method for single-cell diagonal integration: scConfluence