#Multitask-learning

Showing 11 of 11 repositories tagged #multitask-learning, ranked by stars

median-research-group
median-research-group
LibMTL

A PyTorch Library for Multi-Task Learning

Score
70
★ 2.6k ⑂ 232 +1/day
Python
salesforce
salesforce
decaNLP

The Natural Language Decathlon: A Multitask Challenge for NLP

Score
80
★ 2.3k ⑂ 460
Python
subho406
subho406
OmniNet

Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

Score
60
★ 514 ⑂ 59
Python
abess-team
abess-team
abess

Fast Best-Subset Selection Library

Score
90
★ 478 ⑂ 43 +1/day
C++
SimonVandenhende
SimonVandenhende
Awesome-Multi-Task-Learning

A list of multi-task learning papers and projects.

Score
50
★ 388 ⑂ 49 +1/day
SimplexLab
SimplexLab
TorchJD

Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).

Score
100
★ 385 ⑂ 21 +48/day
Python
mit-gfx
mit-gfx
ContinuousParetoMTL

[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning

Score
40
★ 149 ⑂ 27
Jupyter Notebook
Adamdad
Adamdad
KnowledgeFactor

[ECCV2022] Factorizing Knowledge in Neural Networks

Score
20
★ 91 ⑂ 5
Python
AvivNavon
AvivNavon
AuxiLearn

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

Score
30
★ 86 ⑂ 13
Python
gstrezoski
gstrezoski
TaskRouting

(ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_With_Task_Routing_ICCV_2019_paper.html

Score
10
★ 64 ⑂ 16
Python
PurdueDigitalTwin
PurdueDigitalTwin
REDFormer

[ITSC 23] Official codebase for the paper 'Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion

Score
0
★ 61 ⑂ 8
Python
Related Topics
#deep-learning#machine-learning#computer-vision#multiobjective-optimization#python#pytorch#multi-objective-optimization#multi-task-learning#neural-network#mmoe#mtl#multi-domain-learning

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