YyzHarry / imbalanced-regressionLinks
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
☆902Updated 3 years ago
Alternatives and similar repositories for imbalanced-regression
Users that are interested in imbalanced-regression are comparing it to the libraries listed below
Sorting:
- [CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427☆391Updated 3 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆760Updated 4 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,063Updated last year
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆833Updated 3 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆388Updated 4 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆272Updated 3 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆725Updated 3 years ago
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆310Updated last year
- Research on Tabular Deep Learning: Papers & Packages☆1,091Updated last year
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆1,048Updated 2 weeks ago
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆810Updated 2 months ago
- A list of multi-task learning papers and projects.☆382Updated 3 years ago
- 🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆408Updated 8 months ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆642Updated 5 years ago
- 😎 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☆1,506Updated 10 months ago
- A Survey☆573Updated 2 years ago
- Gaussian mixture models in PyTorch.☆584Updated 2 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆504Updated 2 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆805Updated last year
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,222Updated 2 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆695Updated 4 years ago
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,306Updated last year
- PyTorch implementation of Barlow Twins.☆1,002Updated 3 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆576Updated 5 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,554Updated 2 weeks ago
- Learning Rate Warmup in PyTorch☆416Updated 6 months ago
- A simple method to perform semi-supervised learning with limited data.☆1,199Updated last year
- A PyTorch Library for Multi-Task Learning☆2,495Updated 7 months ago
- A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.☆1,040Updated last year
- Bayesian Deep Learning: A Survey☆517Updated 2 months ago