
Inspect AI for evaluating tool-using models
Build model evaluations with datasets, solvers, tools and scorers.
Explore AI projects, understand what they do and find something you can build with.
Showing 1–6 of 8 projects · Page 1 of 2

Build model evaluations with datasets, solvers, tools and scorers.

Study attacks and defenses against machine-learning models using controlled experiments.

Identify likely personal information in text and apply redaction or replacement rules.

Inspect pickle opcodes for risky imports and related indicators.

Look for suspicious operations in supported serialized model artifacts before loading them.

Run targeted probes and detectors against supported model endpoints.
Each page introduces the project, explains its capabilities and highlights practical takeaways. Follow the repository link for the latest documentation and setup instructions.
Sign in, choose Add Repo and paste the main URL of a public AI repository, not a file or issue link. Franklin AI uses the project’s README to build and publish a page and links your contribution to your profile. Each account can add up to 20 repositories a day.
Private repositories cannot be added. If the README is too short for an automatic page, or the project is already being reviewed, the repository is saved in your submissions with the reason for an admin to complete, and you are credited when it is published.
Its existing page stays as it is. Adding it again links that page to your profile instead of creating a second one.
Use the Category filter. Each card shows its categories, such as AI Agents or AI Development, and the repository’s owner and name.