#计算机科学#A PyTorch Library for Multi-Task Learning
#自然语言处理#Multi-Task Deep Neural Networks for Natural Language Understanding
A framework for large scale recommendation algorithms.
The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".
#自然语言处理#🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
MMSA is a unified framework for Multimodal Sentiment Analysis.
#自然语言处理#Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
#Awesome#2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
#计算机科学#A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.
#计算机科学#TensorFlow Script
#计算机科学#Awesome Multitask Learning Resources
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
#计算机科学#Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
#自然语言处理#[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
#自然语言处理#BERT for Multitask Learning
#自然语言处理#Live Training for Open-source Big Models