📊 Measure your smart home's stability with HAGHS, a standardized index for assessing system hygiene and performance in Home Assistant environments.

Project templates and scaffolding for Intent Solutions. Standardized directory structures, configs, and boilerplate for new projects.

An architectural framework for measuring system health and hygiene in Home Assistant.

Python code for generating synthetic sequence data: DNASEQ and RNASEQ reads for use as standards in genomics data analysis pipelines

Universal Agentic Artifact Package Specification

Standardise TR/MH/IG data

A Python package to check input for validity and plausibility. Convert input into standardized formats.

This project is a Streamlit-based web application that predicts the species of an Iris flower using a trained Machine Learning model. The user inputs flower measurements (sepal length, sepal width, petal length, petal width), which are scaled and passed to a pre-trained model to predict the Iris class.

Streamlit-based KNN classification app with real-time predictions, performance metrics, and visual insights.

Factorial analysis aiming to help in a student's academic research

Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.

A flexible and user-friendly Python caching interface that provides a unified API for both synchronous and asynchronous caching, by wrapping and integrating two well-established caching libraries.

Theoretical Chemical Kinetics Database

SBOannotator: A Python tool for the automated assignment of Systems Biology Onotology terms

Normalize MR image intensities in Python

Standarisasi Kolom Numerik for Data Science in Marketing : Customer Segmentation with Python - Part 1

A Python SDK Library for working with the International Standard Industrial Classification of All Economic Activities (ISIC), Revision 4.

In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.

Harmonization of AMR predictor tool outputs

An algorithm to standardize text fields with a variety of uses.