Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
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Updated
Sep 5, 2024 - Python
Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
Custom utility functions for exploratory factor analysis with the factor_analyzer package.
Python 3-Library for accessing online train connection APIs (Elektronische Fahrplanauskunft)
🚌🚏🚅 Displays information about the upcoming departure of public transport within Germany, NRW. Module for MagicMirror
Fit exploratory factor models and bi-factor models with multiple general factors.
PhD thesis titled: Open Source Blockchain Software Health: A Theoretical Framework
Deploy your HPC Cluster on AWS in 20min. with just 1-Click.
A Python module to perform exploratory & confirmatory factor analyses.
Interactive public transport network map of Hagen
Multivariate analysis on Social Media addiction conducted in a Rutgers Business School classroom
US University admissions data has been analysed using multivariate techniques
Display (real-time) public transport departures using Raspberry Pi and LED matrices
Examining the psychometric properties of the survey items based on the responses from the patients. IRT models (graded response model, GRMs), CFA, and EFA were used for analysis
TS/JS wrapper for EFA (Elektronische Fahrplanauskunft)
Pendelstrecke is a tool for visualizing the time needed for commuting trips within the local public transport of Stuttgart (VVS) on a map.
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