Cornac: A Comparative Framework for Multimodal Recommender Systems
Cornac is a comparative framework for multimodal recommender systems. It focuses on making it convenient to work with models leveraging auxiliary data (e.g., item descriptive text and image, social network, etc). Cornac enables fast experiments and straightforward implementations of new models. It is highly compatible with existing machine learning libraries (e.g., TensorFlow, PyTorch).
.. toctree:: :glob: :maxdepth: 1 :caption: Getting Started Installation <https://github.com/PreferredAI/cornac/blob/master/README.md#installation> First experiment <https://github.com/PreferredAI/cornac/blob/master/README.md#getting-started-your-first-cornac-experiment> Examples <https://github.com/PreferredAI/cornac/tree/master/examples#cornac-examples-directory> Tutorials <https://github.com/PreferredAI/cornac/tree/master/tutorials#tutorials>
.. toctree:: :maxdepth: 1 :caption: API Reference data models metrics eval_methods experiment datasets hyperopt