RiccardoBiosas/awesome-MLSecOps
A curated list of MLSecOps tools and resources for securing machine learning and AI systems - adversarial ML defense, LLM security, AI red teaming, model scanning, supply-chain protection, and MLOps p
- Stars
- 480
- Forks
- 122
- Open issues
- 2
- Last push
- 4d ago
About awesome-MLSecOps
awesome-MLSecOps is a free, open-source AI resource list by RiccardoBiosas, written mainly in Astro. A curated list of MLSecOps tools and resources for securing machine learning and AI systems - adversarial ML defense, LLM security, AI red teaming, model scanning, supply-chain protection, and MLOps p. It has 480 GitHub stars and 122 forks, and was last updated 4d ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Astro
- Stars
- 480
- Last update
- 4d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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awesome-MLSecOps FAQ
Is awesome-MLSecOps free?
Yes. awesome-MLSecOps is open source and free to use. It's released under the MIT license, a standard open-source license.
Does awesome-MLSecOps run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does awesome-MLSecOps need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is awesome-MLSecOps still maintained?
Yes. It was last updated 4d ago and has 2 open issues on GitHub.
What are alternatives to awesome-MLSecOps?
Similar free, open-source tools include Prompt-Engineering-Guide, 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, anomaly-detection-resources, zotero-mcp.