Build a Recommender System in 10 Minutes with Keras and JAX

KerasRS is a multi-backend recommender systems library built on top of Keras 3. It lets you build and train recommendation models using JAX, TensorFlow, or PyTorch as the backend.

In this post, we walk through building a simple collaborative filtering model using KerasRS with the JAX backend.

For the full tutorial, check out the Google Developers Blog post.

Getting Started

Install KerasRS:

pip install keras-rs

What’s Next

• Explore the KerasRS documentation
• Try different model architectures
• Scale up with larger datasets