D

data science

https://app.prospect.energy/

Bahn-Vorhersage - The best Train Delay Prediction System.

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

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

This project implements a Data Analytics and Visualization platform using Apache Superset as the main exploration, dashboarding, and BI layer.

The platform enables users to explore, analyze, and visualize data from multiple structured sources through interactive dashboards, SQL-based exploration, and semantic datasets, supporting both operational and analytical use cases.

TheoryFlow backend's repository.

Provide FRCC DSIR the ability to securely, confidently, and efficiently answer questions informed from our team’s codebases. In places where confidence is low, it should be flagged as low to inform the person interacting with the system.

Data: Inception to Publication & Beyond

This is a resource for all questions related to data sharing, collaboration, management, and publication.

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. Basés sur des relevés météo de différentes sources, avec des outils comme Pandas, Dask, Spark, Polars, ..., du ML et du DL. Une couche de visualisation via PowerBI.

This projects exposes the modern form of slavery in capitalism, and this was achieved using employee satisfaction data, it has come to the conclusion that the best members with low social skills are rewared with more work

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.

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

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 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

Este proyecto es material de la materia Laboratorio de Datos del Instituto de Cálculo de la Facultad de Ciencias Exactas y Naturales de la Universidad de Buenos Aries. Icon by Flaticons