awesome-repositories.com
博客
MCP
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目MCP 服务器关于排名机制媒体报道
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 个仓库

Awesome GitHub RepositoriesMultivariate Analysis

Statistical methods for analyzing two or more variables to uncover hidden structures and relationships.

Distinct from Large-Scale Matrix Factorization: Unlike matrix factorization alone, this covers the broader domain of dimensionality reduction and clustering for multivariate sets.

Explore 2 awesome GitHub repositories matching scientific & mathematical computing · Multivariate Analysis. Refine with filters or upvote what's useful.

Awesome Multivariate Analysis GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • uber-common/react-visuber-common 的头像

    uber-common/react-vis

    8,785在 GitHub 上查看↗

    react-vis 是一个 React 数据可视化库和声明式图表框架,用于创建可组合的图形表示。它提供了一个系统,通过将简单的构建块组合成更大的图表结构来渲染复杂的可视化效果。 该库包括用于通过旭日图和树状图进行层次数据映射的专用工具,以及使用桑基图进行流和关系可视化的工具。它还提供了一个多变量数据可视化器,用于通过平行坐标、雷达图和径向可视化来绘制高维数据。 该框架支持用于折线图、柱状图和饼图的标准图表实现,以及图表图例管理和正交坐标图。这些可视化效果使用可缩放矢量图形(SVG)生成。

    Enables the comparison of multiple quantitative variables using high-dimensional plotting techniques.

    JavaScript
    在 GitHub 上查看↗8,785
  • hosseinmoein/dataframehosseinmoein 的头像

    hosseinmoein/DataFrame

    2,917在 GitHub 上查看↗

    DataFrame is a C++ tabular data library and manipulation engine designed for managing heterogeneous data in contiguous memory. It functions as a statistical analysis framework and time series analysis toolkit, providing the means to store, index, and transform multidimensional datasets. The project distinguishes itself through a high-performance execution model that utilizes column-major storage, SIMD-aligned memory allocation, and a thread-pool for parallel computations. It employs a visitor-based algorithm dispatch system and policy-driven transformations to decouple data processing logic f

    Provides dimensionality reduction, clustering, and matrix factorization to uncover structures in large datasets.

    C++aicppdata-analysis
    在 GitHub 上查看↗2,917
  1. Home
  2. Scientific & Mathematical Computing
  3. Multivariate Analysis