ranandalon / mtlLinks
Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
☆555Updated 3 years ago
Alternatives and similar repositories for mtl
Users that are interested in mtl are comparing it to the libraries listed below
Sorting:
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆706Updated 3 years ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆859Updated 4 years ago
- ☆146Updated 3 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆624Updated 5 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆817Updated 3 years ago
- A list of multi-task learning papers and projects.☆374Updated 3 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,036Updated 9 months ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆179Updated 3 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆269Updated 2 years ago
- Awesome Multitask Learning Resources☆665Updated 4 years ago
- A PyTorch Implementation of Focal Loss.☆983Updated 5 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆130Updated 6 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆323Updated 5 years ago
- Unsupervised Feature Learning via Non-parametric Instance Discrimination☆754Updated 4 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆798Updated last year
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆989Updated 8 months ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆455Updated 5 years ago
- some tircks for PyTorch☆576Updated 5 years ago
- Pytorch implementation of the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization"☆469Updated 5 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆669Updated 2 years ago
- My best practice of training large dataset using PyTorch.☆1,100Updated last year
- [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis☆1,325Updated 4 years ago
- Implementation of the mixup training method☆466Updated 7 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 6 years ago
- 🛠 Toolbox to extend PyTorch functionalities☆421Updated last year
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 3 years ago
- A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'☆830Updated 2 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆175Updated 3 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆348Updated 4 years ago
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆89Updated 5 years ago