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Awesome GitHub RepositoriesModel Benchmarking
Standardized evaluation of recommendation models using consistent datasets and industry metrics.
Distinct from Recommendation Models: Focuses on the benchmarking process rather than the architectural design of the models.
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Awesome Model Benchmarking GitHub Repositories
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- rucaibox/recbole
RUCAIBox/RecBole
4,487Ver en GitHubRecBole is a PyTorch-based recommendation framework designed for building, training, and evaluating a wide variety of recommendation algorithms. It serves as a standardized benchmark environment that allows for the comparison of different model architectures using public datasets and consistent evaluation metrics. The project provides specialized toolkits for sequential recommendation and knowledge-graph integration, enabling the prediction of item sequences based on user history or the incorporation of structured external knowledge. It includes a dedicated hyperparameter optimization engine
Evaluates the performance of recommendation algorithms using standardized datasets and consistent industry metrics.
Python
