D

data science

A personal project to advance my career in data science as a whole.

https://app.prospect.energy/

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

SIMNL is een Python-tool die federatief consistente synthetische datasets genereert voor de drie belangrijkste Nederlandse overheidsregisters: BRP (personen), BAG (adressen) en HR (ondernemingen). De gegenereerde data is AVG-compliant, demografisch accuraat volgens CBS-cijfers, en bevat correcte kruisverwijzingen tussen registers — ideaal voor het testen van applicaties die met overheidsdata werken zonder echte persoonsgegevens te gebruiken. Met ondersteuning voor reproduceerbare output via seed-parameters en 30+ gevalideerde business rules levert SIMNL realistische testdata voor ontwikkel- en integratieomgevingen.

Bahn-Vorhersage - The best Train Delay Prediction System.

Python SDK for PaveDB’s /v1 API over HTTP, local embedded, or ephemeral mode, covering collections, ingestion, search, query replay, chunks, embedders, and archives.

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

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

Personal explorations in ML and statistics for quant trading

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

Graduate work in econometric time series and forecasting

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

Mallard is a Python library for loading GTFS datasets into a DuckDB database.

Analysis of Kilter Board data, along with predictive models for V-grades based on holds and angle.

Analysis of Tension Board 2 data, along with predictive models for V-grades based on holds and angle.

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.

These projects form an open-source suite of AI infrastructure tools built for modularity, security, and self-hosted deployment, allowing users to maintain full ownership and control of their systems and data. They deliver interoperable AI functions including automation, data retrieval, encryption, and identity management that can be applied across many different industries. https://roxanneardary.com/ai-infrastructure/

EurekaAI – Science Without Limits is an open-source AI-powered research idea generator that accelerates scientific discovery. By analyzing literature, detecting knowledge gaps, and generating novel hypotheses, EurekaAI empowers researchers to explore uncharted areas of science. Featuring advanced AI analysis, visualization tools, collaboration workflows, and community-driven enhancements, EurekaAI transforms curiosity into actionable insights while maintaining full open-source transparency. https://roxanneardary.com/eurekaai/

An introduction to coding and data analysis in Python and management & publication through git and dashboards.