Build and train a recommender system in 10 minutes using Keras and JAX

Keras Recommenders, a new library for building state-of-the-art recommendation systems, has been launched. The library offers APIs and building blocks for ranking and retrieval tasks, compatible with JAX, TensorFlow, and PyTorch. It includes specialized layers, losses, and metrics for recommender tasks, with plans to add more features and model implementations in the future.