What it does
DeepCTR is a Python library of deep-learning models for click-through rate (CTR) prediction, which means guessing how likely someone is to click on an ad, product or recommendation.
It includes many ready-made models and building blocks for making your own. Its makers say you can use any of them with a couple of simple commands to train and predict.
It is built on TensorFlow, which you install separately.
Who it's for
Developers and data scientists working on recommendations and online advertising.
Can I use it without coding?
Developers only. It's a Python code library. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- Computer
- An ordinary computer is fine
- Privacy
- Runs on your own device: your data stays with you
- API key
- Not needed
Try it
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 (Apache-2.0): Permissive: free to use, change and share, including for business.
- More on staying safe