A curated list of references for MLOps
- machine-learning
- mlops
- data-science
- engineering
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A curated list of references for MLOps
Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
🌐 The open-source Agentic browser; alternative to ChatGPT Atlas, Perplexity Comet, Dia.
Open-source AI agent for web automation. Use your real, logged-in browser to automate daily tasks.
An open source implementation of CLIP.
Comprehensive language-agnostic guidelines on variables naming. Home of the A/HC/LC pattern.
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation" (CVPR'25 Spotlight).
Thunderbird for Android – Open Source Email App for Android (fka K-9 Mail)
Gel supercharges Postgres with a modern data model, graph queries, Auth & AI solutions, and much more.
Formerly KrillinAI, VideoTranslation and Dubbing Tool for 120+ Languages. Open-source AI workspace for creators, powered by Codex. Video downloader, video translation, create videos, images, audios, and edits with Agents in one place. For your Social Media like YouTube, TikTok, Instagram, etc.
Convert Machine Learning Code Between Frameworks
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
AI education materials for Chinese students, teachers and IT professionals.
Full Modular Monolith application with Domain-Driven Design approach.
structured outputs for llms
TranslatedWTF Solidity minimalist introductory tutorial, for beginners. Now supports English! Official website: https://wtf.academy
Learn Blockchain, Solidity, and Full Stack Web3 Development with Javascript
Damn Vulnerable Web Application (DVWA)
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Various Dockerfiles I use on the desktop and on servers.
Build your own 'AirTags' 🏷 today! Framework for tracking personal Bluetooth devices via Apple's massive Find My network.
Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply this strategy with any AI coding assistant!
AI that sees your screen, listens to your conversations and tells you what to do