Shypd.aiThe largest open index of AI toolskeras-mmoe is an open-source TensorFlow Keras implementation of the Multi-gate Mixture-of-Experts model. It helps model task relationships in multi-task learning, providing a Python 3.6 implementation compatible with Python 2.7.
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keras-mmoe provides a TensorFlow Keras implementation of the "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" paper (KDD 2018). This open-source repository offers a Python 3.6 implementation, also compatible with Python 2.7, making it accessible for various development environments. It includes an example demo for running the model with the census-income dataset from UCI, which is the same dataset used in Section 6.3 of the original paper. The code is well-documented and designed for easy extension, encouraging contributions from the community for performance improvements, benchmark accuracy, and training on other public datasets. This tool is ideal for developers and researchers working on deep learning and multi-task learning applications.
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