thuml/awesome-multi-task-learning
A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
This is a curated collection for machine learning practitioners and researchers interested in Multi-Task Learning (MTL). It brings together a wide array of resources, including datasets for computer vision, natural language processing, and recommendation systems, along with research papers and codebases. You can find examples of how to train models to perform several related tasks simultaneously, such as segmenting images, estimating depth, and detecting edges all at once.
822 stars.
Use this if you are developing machine learning models and want to explore or implement techniques where a single model learns to perform multiple related tasks simultaneously.
Not ideal if you are looking for a plug-and-play software tool or an application that solves a specific business problem without needing to build or train a custom model.
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Mar 03, 2026
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