high-dimensional-data 开源项目推荐（230 个）

NVIDIA /MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

ContextLab /hypertools

用于获得对多维数据的几何见解的Python工具箱

vdaas /vald

Vald. A Highly Scalable Distributed Vector Search Engine

abess-team /abess

快速最佳子集选择库

ramhiser /datamicroarray

A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.

Tuyki /TT_RNN

该项目在 GitHub 上没有填写描述

daleroberts /hdmedians

High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.

gdkrmr /dimRed

A Framework for Dimensionality Reduction in R

sergiocorreia /ppmlhdfe

具有多层级固定效应的泊松伪似然回归

epigen /unsupervised_analysis

A general purpose Snakemake workflow and MrBiomics module to perform unsupervised analyses (dimensionality reduction & cluster analysis) and visualizations of high-dimensional data.

great-northern-diver /loon

A Toolkit for Interactive Statistical Data Visualization

GuansongPang /deep-outlier-detection

Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection

lightonai /newma

Implementation of NEWMA: a new method for scalable model-free online change-point detection

nanxstats /hdnom

🔮 Benchmarking and visualization toolkit for penalized Cox models

VarIr /scikit-hubness

A Python package for hubness analysis and high-dimensional data mining

afloresep /tmap2

Tree-based visualization for high-dimensional data. Organizes similar items into interactive tree structures for any high-dimensional dataset.

flekschas /dtour

dtour: a tour-de-vis through high-dimensional data

MChatzakis /DARTH

[SIGMOD 2026] DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search.

mariaderrico /DPA

The DPA package is the scikit-learn compatible implementation of the Density Peaks Advanced clustering algorithm. The algorithm provides robust and visual information about the clusters, their statistical reliability and their hierarchical organization.

ejohnson643 /EMBEDR

Statistical quality evaluation of dimensionality reduction algorithms