A practitioner's guide to applied deep learning for Earth observation, covering semantic segmentation, object detection, time series, foundation models, and ethics.
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Updated
Oct 9, 2026 - Jupyter Notebook
A practitioner's guide to applied deep learning for Earth observation, covering semantic segmentation, object detection, time series, foundation models, and ethics.
A Quarto-based collection of supplementary material from the clinical prediction models book.
Regression Models for Epidemiology
My BSc Thesis on fuzzing automation through LLMs.
Quarto book illustrating various statistical concepts using Shinylive.
📓 Quarto Book of the Master's Thesis: Is Latitude Associated with Chronotype?
Professional Quarto template for creating interactive academic e-books with OBE alignment, flipped classroom support, and hands-on labs
Quarto source files for my book: "A Grammar of Standard Classical Arabic"
The Book of AI - Artificial Intelligence landscape with a focus on agentic engineering
Quarto version of the World Reference Base for Soil Resources, 4th Edition - https://obrl-soil.github.io/wrbsoil2022/
Focus Mode and Presentation Mode for Quarto Book and Website HTML outputs
R companion to the book Applied Economic Forecasting using Time Series Methods by Eric Ghysels und Massimiliano Marcellino
Code and data associated with the paper "doubletrouble: an R/Bioconductor package for the identification, classification, and analysis of gene and genome duplications"
CS229 notes, CS229 lecture notes — CS229 2018 machine learning lecture notes
Quarto book/wiki of group procedures and resources
Requirements-as-code and end-to-end traceability for Quarto, connecting requirements, architecture, decisions, tests, evidence, and change analysis
A Quarto-powered framework for research lifecycle management (a spin on PLM), anchored around a thesis. One repo, the single source of truth for your chapters and ongoing PM: Agile inspred experiment/issue/feature recording, Gantt/kanban, rich RevealJS & HTML. Plain-text, git-native & agent-ready; powering the entire adventure towards your lodestar
A hands-on technical book and Python lab for building and evaluating agentic systems.
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