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

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.

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

Dimension reduced surrogate construction for parametric PDE maps

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

A novel method for single-cell diagonal integration: scConfluence

sliced: scikit-learn compatible sufficient dimension reduction

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

NTUEE 2018 spring course - Machine Learning (Pei-Yuan Wu, Hung-Yi Lee, Tsungnan Lin)

Repository for the AugmentedPCA Python package.

IsUMap is a tool for manifold learning, dimension reduction and data visualization

A Python package for dimension reduction and evaluation workflows with CyTOF data.

Visualize the Latent Space of an Autoencoder using matplotlib

An Explainable Deep Network for Dimension Reduction

An interactive toolkit for visualizing GMM convergence in 3D/2D, featuring PCA for dimensionality reduction, K-means++ initialization, and covariance regularization for stability.

[ECML-PKDD 2021] Invertible Manifold Learning for Dimension Reduction

Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing: we investigate the robustness of hashing methods based on variational autoencoders to the lack of supervision, focusing on two semi-supervised approaches currently in use. In addition, we propose a novel supervision approach in which the model uses its own predictions of the lab…

This is a repository for the paper "Contrastive Multiple Correspondence Analysis (cMCA): Applying the Contrastive Learning Method to Identify Political Subgroups."

Implementation of the most basic SDR (sufficient dimension reduction) methods in Python