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

An End-to-End Modern Data Stack (MDS) pipeline: Off-chain to On-chain Attribution (ROAS) and Yield-Driven Capital Flight (Churn)

Mobility Data Space ist the data sharing community for all actors who would like to design the mobility of tomorrow.

This computational neuroscience pipeline leverages GPU acceleration (via RAPIDS) to perform RSA on NSD fMRI beta-series data across various ROIs. It seeks to quantify the alignment between neural RDMs and semantic feature RDMs derived from VLMs, offering reproducible insights into the neural coding of scene-level and object-level semantics

A study of non-linear manifold feature extraction in spike sorting: a comprehensive benchmark of 15 feature extraction methods

Demo Project for Open Source MDS

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

Uncertainty estimation toolkit for dimensionality reduction on population genetics 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.

lsp-python is a lightweight implementation of the least square projection (LSP) dimensionality reduction technique using a sklearn style API.

Python package for plug and play dimensionality reduction techniques and data visualization in 2D or 3D.

Conecte os dados do Facebook Ads ao seu banco de dados Postgres com Airbyte e Mage.

Conexión fácil de modelos de dinámicas de sistemas con modelos biofísicos.

data pipeline for blockchain data

Uncertainty quantification for multidimensional scaling

A minimal modern data stack with working data pipelines in a single Docker container.

Implementation of the MultiDimensional Scaling algorithm to detect drones in space with just one anchor

Clustering exploration using the authors dataset

Portfolio 3 in FYS-2021 Machine Learning at UiT, The Arctic University.