- Paris, France
- rydela.com
Stars
Reusable GitHub Actions workflow and Copilot skill for World Bank open source compliance.
An Obsidian plugin that embeds Claude Code/Codex as an AI collaborator in your vault
Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
Voice avatar for Claude Code. Local TTS, lipsync, cursor tracking, and mood expressions. Powered by Kokoro, Three.js, and Tauri.
Toolkit for scalable geospatial data download, processing, and enrichment, designed for use across diverse domains such as infrastructure mapping, accessibility analysis, and environmental studies.
Geospatial data science training documentation and plan
The OCHA Humanitarian Icons for use in ArcGIS and QGIS
This ETL pipeline allows you to query and extract Overture Maps data (such as roads, buildings) to upload to ArcGIS Online, download as different file types for any GIS software, or save as a local…
A plugin that does one thing only: Detect and manage duplicate items in Zotero.
A list of ISO 3166-1 country codes and their bounding boxes.
Mundi.ai is an open source, AI-native web GIS. Host, explore, and analyze spatial data.
Web tool to edit, validate, and manage metadata for Microdata (DDI Codebook), documents, tables, media, and geospatial data.
Detecting and predicting Urban Heat Islands (UHIs) using satellite temperature and land use data with Python and Google Earth Engine.
MyST Reader is a Pelican plugin that processes Markdown content via MyST parser
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-ar…
Neural Networks: Zero to Hero
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Techniques for deep learning with satellite & aerial imagery
The fastai book, published as Jupyter Notebooks
Useful Machine Learning, Data Science, AI resources I regularly use to study
Notebooks for learning deep learning
A MNIST-like fashion product database. Benchmark 👇