D

data science

Bahn-Vorhersage - The best Train Delay Prediction System.

Outflow is a framework that helps you create and execute sequential, parallel as well as distributed task workflows.

A Python module, primarily on linear and multiple regression including normalizing data, computing hypothesis, and evaluating cost.

A LARA python-django app for managing projects and experiments in lab automation systems and scientific laboratories.

Découverte de ce monde (Data / ML) via un projet perso. Par ex basés sur des relevés météo de différentes sources, avec des outils comme Pandas, Dask, Spark, Polars, ... Et une couche de visualisation via PowerBI.

Mirrored to https://gitlab.b-data.ch/git/gsi and https://github.com/b-data/gsi.

Source code for a kinetic theory inspired learning model for data-science applications. Manuscript: https://doi.org/10.1088/2632-2153/adf93a

Recommend.Games blog: https://blog.recommend.games/

Data Science / Machine Learning Pipeline component for training and deploying ML models using CI

Python Data Science is an open source project providing guidance on python (and selectively R, Julia) packages relevant for data science tasks

Mirrored to https://gitlab.b-data.ch/docker/deployments/gitlab-ce and https://github.com/b-data/docker-deployment-gitlab-ce.

Mirrored to https://gitlab.b-data.ch/docker/deployments/jupyter and https://github.com/b-data/docker-deployment-jupyter.

Mirrored to https://gitlab.b-data.ch/docker/deployments/traefik and https://github.com/b-data/docker-deployment-traefik.

JK's data science and machine learning repository.

A transformer model for the hateXplain dataset

Repositorio que analiza problemáticas ambientales, sociales y administrativas en México, con un enfoque en el uso de datos, validación estructural y análisis geoespacial.

This is an academical project

This repository contains the scripts I developed during my Master’s thesis project, which focused on designing and implementing an automatic pointing model framework for the Euler Telescope at La Silla Observatory. The codebase includes routines for data extraction, pointing model construction using a custom Python-based emulation of the TPOINT model, residual analysis, model validation tools, and additional diagnostics such as field rotation and star elongation analysis. To the best of my knowledge, this is the first publicly available implementation of a TPOINT-like model in Python. I hope it can serve both as a practical toolkit and a learning resource for others working in astronomical instrumentation or telescope automation. For full details on the methodology and context, you can access the thesis manuscript here: https://1drv.ms/b/c/8c0552583c50cd59/Ec80tP1h7G9BoY9CqG4-bFwB3IvmEx3xr4MQdE3A3gaDzQ?e=p7YwIy and watch the recorded thesis defense presentation here: https://youtu.be/jAweU7BmVwM?si=8z-KtTzvGopoLIz4

Practical Introduction to Data Science - A Data Science task using R on two datasets (Historic weather/climate and Self-reported happiness statistics UK)