Alternatives and similar repositories for awesome-multi-task-learning

Users that are interested in awesome-multi-task-learning are comparing it to the libraries listed below

• WeiHongLee / Awesome-Multi-Task-Learning
  An up-to-date list of works on Multi-Task Learning
  ☆342Updated 5 months ago
• SimonVandenhende / Awesome-Multi-Task-Learning
  A list of multi-task learning papers and projects.
  ☆371Updated 3 years ago
• median-research-group / LibMTL
  A PyTorch Library for Multi-Task Learning
  ☆2,303Updated 3 weeks ago
• SimonVandenhende / Multi-Task-Learning-PyTorch
  PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
  ☆809Updated 3 years ago
• WeiChengTseng / Pytorch-PCGrad
  Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
  ☆339Updated 3 years ago
• AvivNavon / nash-mtl
  Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]
  ☆223Updated 11 months ago
• isl-org / MultiObjectiveOptimization
  Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
  ☆1,028Updated 8 months ago
• Mikoto10032 / AutomaticWeightedLoss
  Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
  ☆613Updated 4 years ago
• mbs0221 / Multitask-Learning
  Awesome Multitask Learning Resources
  ☆662Updated 4 years ago
• tianheyu927 / PCGrad
  Code for "Gradient Surgery for Multi-Task Learning"
  ☆320Updated 5 years ago
• lorenmt / mtan
  The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
  ☆698Updated 3 years ago
• lorenmt / auto-lambda
  The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].
  ☆134Updated 2 years ago
• baifanxxx / awesome-active-learning
  A curated list of awesome Active Learning
  ☆764Updated 6 months ago
• ranandalon / mtl
  Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
  ☆554Updated 3 years ago
• Vanint / Awesome-LongTailed-Learning
  A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).
  ☆556Updated 5 months ago
• Stomach-ache / awesome-long-tail-learning
  ☆479Updated 7 months ago
• YyzHarry / imbalanced-regression
  [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
  ☆870Updated 3 years ago
• LucasBoTang / GradNorm
  PyTorch implementation of the GradNorm
  ☆94Updated 8 months ago
• asheeshcric / awesome-contrastive-self-supervised-learning
  A comprehensive list of awesome contrastive self-supervised learning papers.
  ☆1,269Updated 8 months ago
• yaringal / multi-task-learning-example
  A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
  ☆858Updated 4 years ago
• jianghaojun / Awesome-Parameter-Efficient-Transfer-Learning
  A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
  ☆400Updated 7 months ago
• HobbitLong / PyContrast
  PyTorch implementation of Contrastive Learning methods
  ☆1,979Updated last year
• ZhiningLiu1998 / awesome-imbalanced-learning
  😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
  ☆1,438Updated 2 months ago
• brianlan / pytorch-grad-norm
  Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…
  ☆269Updated 2 years ago
• YuejiangLIU / awesome-source-free-test-time-adaptation
  A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
  ☆501Updated 10 months ago
• ContinualAI / continual-learning-papers
  Continual Learning papers list, curated by ContinualAI
  ☆630Updated last year
• vturrisi / solo-learn
  solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
  ☆1,483Updated 2 weeks ago
• yfzhang114 / Generalization-Causality
  关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
  ☆1,204Updated last year
• AberHu / Knowledge-Distillation-Zoo
  Pytorch implementation of various Knowledge Distillation (KD) methods.
  ☆1,690Updated 3 years ago
• songhwanjun / Awesome-Noisy-Labels
  A Survey
  ☆560Updated 2 years ago