A PyTorch Library for Multi-Task Learning

python deep-learning pytorch multi-objective-optimization multiobjective-optimization mtl multi-task-learning ple multitask-learning mmoe multi-domain-learning

• Updated May 14, 2025
• Python

A framework for large scale recommendation algorithms.

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• Updated Apr 15, 2026
• Python

Multi-Task Deep Neural Networks for Natural Language Understanding

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• Updated Mar 7, 2024
• Python

The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".

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• Updated Jan 17, 2024
• Python

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

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• Updated Aug 1, 2023
• Python

MMSA is a unified framework for Multimodal Sentiment Analysis.

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• Updated Jan 15, 2025
• Python

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

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• Updated Oct 11, 2023
• Python

A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

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• Updated Mar 3, 2026

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

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• Updated Jan 13, 2022
• Python

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.

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• Updated Nov 8, 2026

Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).

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• Updated Jul 20, 2023

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

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• Updated Aug 2, 2024
• Python

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

pytorch multi-task-learning attention-model

• Updated Feb 7, 2022
• Python

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

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• Updated Mar 25, 2023
• Python

High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.

customizable user-friendly multi-task-learning multi-task-fine-tuning multi-model-support

• Updated Dec 30, 2024
• Python

TensorFlow Script

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• Updated Mar 28, 2024
• Python

Awesome Multitask Learning Resources

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• Updated Apr 13, 2021

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

deep-learning pytorch multi-task multi-task-learning auxiliary-tasks weigh-losses

• Updated Jun 20, 2020
• Python

[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models

nlp natural-language-processing text-generation pytorch question-answering semantic-parsing multi-task-learning fact-verification data-to-text huggingface-transformers prompt-learning huggingface-datasets structured-knowledge-grounding

• Updated Aug 22, 2023
• Python

BERT for Multitask Learning

nlp text-classification transformer named-entity-recognition pretrained-models part-of-speech ner word-segmentation bert cws encoder-decoder multi-task-learning multitask-learning

• Updated Apr 12, 2023
• Jupyter Notebook