multi-task-learning
There are 419 repositories under multi-task-learning topic.
median-research-group/LibMTL
A PyTorch Library for Multi-Task Learning
namisan/mt-dnn
Multi-Task Deep Neural Networks for Natural Language Understanding
alibaba/EasyRec
A framework for large scale recommendation algorithms.
NVlabs/prismer
The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".
huggingface/hmtl
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
megvii-research/PETR
[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
thuiar/MMSA
MMSA is a unified framework for Multimodal Sentiment Analysis.
SimonVandenhende/Multi-Task-Learning-PyTorch
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
thuml/awesome-multi-task-learning
2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
SinclairCoder/Instruction-Tuning-Papers
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
drawbridge/keras-mmoe
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
lorenmt/mtan
The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
codefuse-ai/MFTCoder
High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.
maudzung/TTNet-Real-time-Analysis-System-for-Table-Tennis-Pytorch
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
lambdaji/tf_repos
TensorFlow Script
mbs0221/Multitask-Learning
Awesome Multitask Learning Resources
Mikoto10032/AutomaticWeightedLoss
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
xlang-ai/UnifiedSKG
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
JayYip/m3tl
BERT for Multitask Learning
OpenBMB/CPM-Live
Live Training for Open-source Big Models
CLUEbenchmark/pCLUE
pCLUE: 1000000+多任务提示学习数据集
AlaaLab/InstructCV
[ ICLR 2024 ] Official Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"
santi-pdp/pase
Problem Agnostic Speech Encoder
smousavi05/EQTransformer
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
WeiChengTseng/Pytorch-PCGrad
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
WeiHongLee/Awesome-Multi-Task-Learning
An up-to-date list of works on Multi-Task Learning
hwwang55/MKR
A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)
tianheyu927/PCGrad
Code for "Gradient Surgery for Multi-Task Learning"
LongmaoTeamTf/deep_recommenders
Deep Recommenders
prismformore/Multi-Task-Transformer
Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"
yhlleo/DeepSegmentor
A Pytorch implementation of DeepCrack and RoadNet projects.
aim-uofa/Diception
[NeurIPS 2025 Spotlight] A Generalist Diffusion Model for Vision Perception
TorchJD/torchjd
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
raunak-agarwal/instruction-datasets
Datasets for Instruction Tuning of Large Language Models
alibaba/TorchEasyRec
An easy-to-use framework for large scale recommendation algorithms.