A lean C++ library for working with point cloud data

A data specification to enable right-of-way regulation, digital policy, geofencing, and two-way communication between mobility companies and public agencies worldwide for any regulated, shared, or agency vehicle.

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen

an open directory of mobility feeds and operators — powers both Transitland v1 and v2

Demo Project for Open Source MDS

A JavaScript Library for Dimensionality Reduction

This repo demonstrate a comprehensive modern data stack using popular open-source tools.

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.

Workshop on tidytranscriptomics: Performing tidy transcriptomics analyses with tidybulk, tidyverse and tidyheatmap

Probing Projections introduces a set of interaction and visualisation techniques to make examining dimensionality-reduced datasets easier.

a JSON-based data schema to catalog mobility/transit/transportation data feeds

PCA and normal mode analysis of proteins

Python tools for working with MDS Provider data

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.

Services for working with MDS Provider data, built as runnable Docker containers.

OpenAPI description for MDS data feeds, managed by the Open Mobility Foundation.

Infrastructure-free Multidimensional Scaling (MDS) for drones swarm localization. Performances comparison with trilateration algorithm

Some tools for macOS administrators

Device: Zedboard xc7z020clg484-1, Clock Rate: 319 MHz, Tool: Vivado 2018.3, Language: Verilog