brianlan / pytorch-grad-normView external linksLinks
Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.
☆271Aug 9, 2022Updated 3 years ago
Alternatives and similar repositories for pytorch-grad-norm
Users that are interested in pytorch-grad-norm are comparing it to the libraries listed below
Sorting:
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆181Nov 2, 2021Updated 4 years ago
- a much more complex case using GradNorm, where the layer sharing situation is sophisticated.☆15Feb 21, 2019Updated 6 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆643Jun 20, 2020Updated 5 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆150Jun 3, 2019Updated 6 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,067Sep 2, 2024Updated last year
- A library for multi-task learning and meta-learning.☆12Feb 7, 2022Updated 4 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆838Jan 13, 2022Updated 4 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆728Feb 7, 2022Updated 4 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆566Nov 1, 2021Updated 4 years ago
- A PyTorch Library for Multi-Task Learning☆2,520May 14, 2025Updated 8 months ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆394Jun 22, 2021Updated 4 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆144Nov 9, 2023Updated 2 years ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆869Jul 6, 2020Updated 5 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆33Mar 1, 2019Updated 6 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆237Jun 25, 2025Updated 7 months ago
- Implementation of EPSNet for panoptic segmentation on PyTorch☆14Sep 5, 2020Updated 5 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Jul 25, 2018Updated 7 years ago
- A lightweight module for Multi-Task Learning in pytorch.☆168Aug 7, 2023Updated 2 years ago
- Awesome Multitask Learning Resources☆674Apr 13, 2021Updated 4 years ago
- ☆148Dec 13, 2021Updated 4 years ago
- TensorFlow implementation of GradNorm☆41Mar 24, 2023Updated 2 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆345Apr 28, 2020Updated 5 years ago
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆91Nov 8, 2019Updated 6 years ago
- Code release for paper "A Modulation Module for Multi-task Learning with Applications in Image Retrieval"☆32Dec 8, 2018Updated 7 years ago
- A list of multi-task learning papers and projects.☆384Jan 31, 2022Updated 4 years ago
- Official PyTorch implementation for ECCV'20 paper: Deep Image Clustering with Category-Style Representation☆16Aug 26, 2020Updated 5 years ago
- An up-to-date list of works on Multi-Task Learning☆377Oct 10, 2025Updated 4 months ago
- Code for Which Tasks Should Be Learned Together in Multi-task Learning?