dipakkr/awesome-ai-engineering
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
- Stars
- 22k
- Forks
- 4.8k
- Open issues
- 37
- Last push
- 1d ago
About awesome-ai-engineering
awesome-ai-engineering is a free, open-source AI resource list by dipakkr. 🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems. It has 22k GitHub stars and 4.8k forks, and was last updated 1d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- –
- Stars
- 22,440
- Last update
- 1d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
Similar free tools
Prompt-Engineering-Guide79k stars · 🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code37k stars · 500 AI Machine learning Deep learning Computer vision NLP Projects with code
anomaly-detection-resources9.4k stars · Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
API-mega-list8.1k stars · This GitHub repo is a powerhouse collection of APIs you can start using immediately to build everything from simple automations to full-scale applications. One of the most valuable API lists on GitHub
h4cker30k stars · This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vu
KG-LLM-Papers2.2k stars · [Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
awesome-ai-engineering FAQ
Is awesome-ai-engineering free?
Yes. awesome-ai-engineering is open source and free to use. It's released under the MIT license, a standard open-source license.
Does awesome-ai-engineering run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does awesome-ai-engineering need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is awesome-ai-engineering still maintained?
Yes. It was last updated 1d ago and has 37 open issues on GitHub.
What are alternatives to awesome-ai-engineering?
Similar free, open-source tools include Prompt-Engineering-Guide, 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, anomaly-detection-resources, API-mega-list.