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Flambé: A Customizable Framework for Machine Learning Experiments
2019
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Flambé is a machine learning experimentation framework built to accelerate the entire research life cycle. Flambé's main objective is to provide a unified interface for prototyping models, running experiments containing complex pipelines, monitoring those experiments in real-time, reporting results, and deploying a final model for inference. Flambé achieves both flexibility and simplicity by allowing users to write custom code but instantly include that code as a component in a larger system
doi:10.18653/v1/p19-3029
dblp:conf/acl/WohlwendMI19
fatcat:42bvlor74vbm3pklpcsdueydoa