<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Curation on Noureddine RAMDI</title><link>https://ramdi.fr/tags/curation/</link><description>Recent content in Curation on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/curation/index.xml" rel="self" type="application/rss+xml"/><item><title>awesome-ios: the definitive curated directory for iOS development resources</title><link>https://ramdi.fr/github-stars/awesome-ios-the-definitive-curated-directory-for-ios-development-resources/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/awesome-ios-the-definitive-curated-directory-for-ios-development-resources/</guid><description>awesome-ios is a community-curated catalog of iOS libraries, tools, and learning resources that maps the evolution of Apple platform development from Objective-C to SwiftUI.</description></item><item><title>Cyber Detective's OSINT Tools Collection: A curated index for systematic open-source intelligence workflows</title><link>https://ramdi.fr/github-stars/cyber-detective-s-osint-tools-collection-a-curated-index-for-systematic-open-source-intelligence-workflows/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/cyber-detective-s-osint-tools-collection-a-curated-index-for-systematic-open-source-intelligence-workflows/</guid><description>A curated collection of 1000+ OSINT tools organized by investigative domains, supporting systematic workflows in open-source intelligence gathering.</description></item><item><title>gnnpapers: the definitive curated reading list for graph neural network research</title><link>https://ramdi.fr/github-stars/gnnpapers-the-definitive-curated-reading-list-for-graph-neural-network-research/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/gnnpapers-the-definitive-curated-reading-list-for-graph-neural-network-research/</guid><description>gnnpapers is a curated, community-recognized bibliography of 800+ must-read graph neural network papers. It organizes GNN research evolution and applications without any code.</description></item><item><title>Navigating the AI plugin explosion in Obsidian with Awesome-Obsidian-AI-Tools</title><link>https://ramdi.fr/github-stars/navigating-the-ai-plugin-explosion-in-obsidian-with-awesome-obsidian-ai-tools/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-the-ai-plugin-explosion-in-obsidian-with-awesome-obsidian-ai-tools/</guid><description>Explore a curated directory listing 86 AI plugins for Obsidian, revealing the shift from cloud chatbots to privacy-focused local LLM integrations and the sprawling AI plugin landscape.</description></item><item><title>Curated machine learning video courses on YouTube by dair-ai/ML-YouTube-Courses</title><link>https://ramdi.fr/github-stars/curated-machine-learning-video-courses-on-youtube-by-dair-ai-ml-youtube-courses/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/curated-machine-learning-video-courses-on-youtube-by-dair-ai-ml-youtube-courses/</guid><description>A community-curated list of free machine learning courses on YouTube that organizes and vets educational content for practical learners and enthusiasts.</description></item><item><title>How awesome-mac curates macOS developer tools with community and structure</title><link>https://ramdi.fr/github-stars/how-awesome-mac-curates-macos-developer-tools-with-community-and-structure/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/how-awesome-mac-curates-macos-developer-tools-with-community-and-structure/</guid><description>awesome-mac is a community-curated markdown catalog of macOS developer tools. Discover how its taxonomy and contribution model made it a 100k+ star resource for developers.</description></item><item><title>Mapping the open-source AI stack with the awesome-opensource-ai curated list</title><link>https://ramdi.fr/github-stars/mapping-the-open-source-ai-stack-with-the-awesome-opensource-ai-curated-list/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/mapping-the-open-source-ai-stack-with-the-awesome-opensource-ai-curated-list/</guid><description>A curated directory cataloging over 200 production-ready open-source AI projects across the machine learning stack, from training frameworks to self-hosted UIs.</description></item><item><title>Navigating the MLOps Maze: A Deep Dive into the Awesome Production Machine Learning Repository</title><link>https://ramdi.fr/github-stars/navigating-the-mlops-maze-a-deep-dive-into-the-awesome-production-machine-learning-repository/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-the-mlops-maze-a-deep-dive-into-the-awesome-production-machine-learning-repository/</guid><description>Explore the EthicalML awesome-production-machine-learning repo, a curated catalog of 200+ open source MLOps tools covering the full production ML lifecycle. Essential for ML engineers building production stacks.</description></item><item><title>Curating quality: a curated list of essential books for large language model engineers</title><link>https://ramdi.fr/github-stars/curating-quality-a-curated-list-of-essential-books-for-large-language-model-engineers/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/curating-quality-a-curated-list-of-essential-books-for-large-language-model-engineers/</guid><description>A curated list of 24 rigorously selected books on LLM engineering, covering foundational theory to production deployment. Highlights a unique 6-step quality filtering process.</description></item><item><title>Exploring devanshutak25/3d-resources: an AI-curated catalog for 3D artists</title><link>https://ramdi.fr/github-stars/exploring-devanshutak25-3d-resources-an-ai-curated-catalog-for-3d-artists/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/exploring-devanshutak25-3d-resources-an-ai-curated-catalog-for-3d-artists/</guid><description>devanshutak25/3d-resources is a curated catalog of free and paid 3D assets and tools, assembled with AI assistance to support diverse 3D workflows across major DCCs like Blender and Unreal Engine.</description></item><item><title>Navigating the fragmented AI agent landscape with the awesome_ai_agents curated directory</title><link>https://ramdi.fr/github-stars/navigating-the-fragmented-ai-agent-landscape-with-the-awesome-ai-agents-curated-directory/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/navigating-the-fragmented-ai-agent-landscape-with-the-awesome-ai-agents-curated-directory/</guid><description>Explore a curated directory of 1,500+ AI agent tools, frameworks, and projects organized by use case. Essential for developers navigating the rapidly evolving AI agent space.</description></item><item><title>HelloGitHub: How curated open source content drives community engagement at scale</title><link>https://ramdi.fr/github-stars/hellogithub-how-curated-open-source-content-drives-community-engagement-at-scale/</link><pubDate>Sat, 02 May 2026 20:07:04 +0000</pubDate><guid>https://ramdi.fr/github-stars/hellogithub-how-curated-open-source-content-drives-community-engagement-at-scale/</guid><description>HelloGitHub curates entry-level open source projects monthly, fostering community engagement through human curation rather than code complexity. Here&amp;rsquo;s how it works.</description></item></channel></rss>