multitask-learning
There are 270 repositories under multitask-learning topic.
median-research-group/LibMTL
A PyTorch Library for Multi-Task Learning
salesforce/decaNLP
The Natural Language Decathlon: A Multitask Challenge for NLP
hustvl/YOLOP
You Only Look Once for Panopitic Driving Perception.（MIR2022）
nyu-mll/jiant
jiant is an nlp toolkit
Lifelong-Robot-Learning/LIBERO
Benchmarking Knowledge Transfer in Lifelong Robot Learning
clue-ai/PromptCLUE
PromptCLUE, 全中文任务支持零样本学习模型
datvuthanh/HybridNets
HybridNets: End-to-End Perception Network
mahmoudnafifi/Deep_White_Balance
Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.
JayYip/m3tl
BERT for Multitask Learning
bigscience-workshop/xmtf
Crosslingual Generalization through Multitask Finetuning
subho406/OmniNet
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
abess-team/abess
Fast Best-Subset Selection Library
SimonVandenhende/Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
hellohaptik/multi-task-NLP
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
easezyc/Multitask-Recommendation-Library
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
DSXiangLi/ChineseNER
中文NER的那些事儿
TorchJD/torchjd
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
zwx8981/LIQE
[CVPR2023] Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
nadeemlab/DeepLIIF
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
ifnspaml/SGDepth
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
liuqidong07/MOELoRA-peft
[SIGIR'24] The official implementation code of MOELoRA.
hosseinshn/GradNorm
This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
busesese/MultiTaskModel
multi task mode for esmm and mmoe
OFA-Sys/OFASys
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models
mit-gfx/ContinuousParetoMTL
[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning
Cranial-XIX/CAGrad
Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
hosseinshn/Basic-Multi-task-Learning
This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
RchalYang/Soft-Module
Code for "Multi-task Reinforcement Learning with Soft Modularization"
xzhang2523/libmoon
LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.
LucasBoTang/GradNorm
PyTorch implementation of the GradNorm
long123524/BsiNet-torch
JAG: Delineation of agricultural fields using multi-task BsiNet from high-resolution satellite images
Cranial-XIX/FAMO
Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)
prakharguptaz/Instructdial
Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
bhpfelix/MTLNAS
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Adamdad/KnowledgeFactor
[ECCV2022] Factorizing Knowledge in Neural Networks
tum-pbs/ConFIG
[ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method