A flexible and efficient С++ template library for dimension reduction
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Updated
May 8, 2024 - C++
A flexible and efficient С++ template library for dimension reduction
R/shiny interface for interactive visualization of data in SummarizedExperiment objects
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 fast xgboost feature selection algorithm
Deep learning meets molecular dynamics.
Randomized Dimension Reduction Library
Randomized Matrix Decompositions using R
Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
Fast k-Nearest Neighbors Classifier for Large Datasets
Sparse Principal Component Analysis (SPCA) using Variable Projection
A header-only C++ library for sketching in randomized linear algebra
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.
R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)
Dimension reduced surrogate construction for parametric PDE maps
Reconstruction and Compression of Color Images Using Principal Component Analysis (PCA) Algorithm
Statistical quality evaluation of dimensionality reduction algorithms
manage ordinations and render biplots in a tidyverse workflow
emgr -- EMpirical GRamian Framework
sliced: scikit-learn compatible sufficient dimension reduction
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