What it does
Anomaly detection means finding the odd ones out in data, such as a fraudulent card payment, a network break-in or a faulty machine part. This list gathers learning material on the subject.
It includes books and tutorials, online courses and videos, test datasets, open-source and commercial tools, key conferences, and research papers. Its maker says it has been updated with recent work using large language models and vision models.
Who it's for
Students, researchers and data professionals learning about outlier and fraud detection.
Can I use it without coding?
Yes. It is a list of links to read. The tools it lists mostly need programming. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- Runs on
- Web browser
- Computer
- An ordinary computer is fine
- API key
- Not needed
Try it
- Open the list and start with the books and tutorials section.
- Move on to the courses, datasets and tools sections as you go deeper.
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- License (AGPL-3.0): Free to use; if you run a changed version as an online service, you must share your source code.
- More on staying safe