median-research-group / LibMTLLinks
A PyTorch Library for Multi-Task Learning
☆2,480Updated 6 months ago
Alternatives and similar repositories for LibMTL
Users that are interested in LibMTL are comparing it to the libraries listed below
Sorting:
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆802Updated 2 months ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,059Updated last year
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆641Updated 5 years ago
- An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板,简单易用,稍改原来Pytorch代码,即可适配Lightning。You can translate your previous Pytorch code much…☆1,530Updated 2 years ago
- 关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记☆1,238Updated last year
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆834Updated 3 years ago
- assistant tools for attention visualization in deep learning☆1,247Updated 3 years ago
- 整理 pytorch 单机多 GPU 训练方法与原理☆852Updated 4 years ago
- A quickstart and benchmark for pytorch distributed training.☆1,665Updated last year
- Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners☆2,678Updated 2 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,257Updated last year
- A Unified Semi-Supervised Learning Codebase (NeurIPS'22)☆1,553Updated 2 months ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,367Updated 2 years ago
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,641Updated 2 years ago
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,303Updated last year
- An up-to-date list of works on Multi-Task Learning☆374Updated last month
- Some Conferences' accepted paper lists (including AI, ML, Robotic)☆1,329Updated 10 months ago
- [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods☆2,408Updated 2 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☆1,502Updated 9 months ago
- Everything you need about Active Learning (AL).☆948Updated last year
- A curated list of resources for Learning with Noisy Labels☆2,720Updated 7 months ago
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,391Updated last year
- A curated list of awesome papers on dataset distillation and related applications.☆1,852Updated last week
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,293Updated 2 years ago
- Some tricks of pytorch...☆1,194Updated last year
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,731Updated 4 years ago
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,219Updated 2 years ago
- [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression☆899Updated 3 years ago
- PyTorch implementation of Contrastive Learning methods☆1,996Updated 2 years ago
- A list of multi-task learning papers and projects.☆382Updated 3 years ago