median-research-group / LibMTLLinks
A PyTorch Library for Multi-Task Learning
☆2,330Updated last month
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.☆761Updated 2 weeks ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,036Updated 9 months ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆622Updated 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…☆1,473Updated last year
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆817Updated 3 years ago
- A quickstart and benchmark for pytorch distributed training.☆1,668Updated 10 months ago
- assistant tools for attention visualization in deep learning☆1,172Updated 3 years ago
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,276Updated 9 months ago
- 整理 pytorch 单机多 GPU 训练方法与原理☆837Updated 3 years ago
- An up-to-date list of works on Multi-Task Learning☆348Updated this week
- 关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研 究的阅读笔记☆1,215Updated last year
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,243Updated 8 months ago
- PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)☆3,304Updated last year
- OpenMMLab Self-Supervised Learning Toolbox and Benchmark☆3,266Updated last year
- [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression☆876Updated 3 years ago
- Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners☆2,655Updated last year
- PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538☆1,119Updated last year
- How to use wandb?☆655Updated last year
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,196Updated 2 years ago
- PyTorch implementation of the InfoNCE loss for self-supervised learning.☆558Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,984Updated last year
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,602Updated 2 years ago
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,703Updated 3 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆706Updated 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
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,998Updated last month
- PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations☆2,403Updated last year
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,886Updated last year
- PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057☆1,272Updated 3 years ago
- A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).☆834Updated 11 months ago