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Awesome GitHub RepositoriesFrameworks
Systems for implementing and managing multi-task learning architectures.
Distinct from Multi-Task Learning Models: Distinct from Multi-Task Learning Models: focuses on the framework/infrastructure for managing multiple tasks rather than just the model architecture itself.
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Awesome Frameworks GitHub Repositories
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- alibaba/x-deeplearning
alibaba/x-deeplearning
4,301عرض على GitHubThis project is a distributed machine learning platform and sparse deep learning framework designed for training and serving models with high-dimensional sparse data. It functions as an online model serving infrastructure and recommendation system engine, enabling real-time item retrieval and scoring using deep tree matching and neural networks. The system distinguishes itself through a multi-task learning framework that optimizes multiple objective functions within a shared representation space. It features a specialized online serving infrastructure that supports dynamic model hot-loading a
Implements a framework for optimizing multiple objective functions simultaneously within a shared representation space.
PureBasic
