A PyTorch Library for Multi-Task Learning
☆2,597May 14, 2025Updated last year
Alternatives and similar repositories for LibMTL
Users that are interested in LibMTL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆841Mar 3, 2026Updated 7 months ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,066Sep 2, 2024Updated 2 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆248Jun 25, 2025Updated last year
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆843Jan 13, 2022Updated 4 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆651Jun 20, 2020Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- An up-to-date list of works on Multi-Task Learning☆379Mar 2, 2026Updated 8 months ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆143Feb 5, 2023Updated 3 years ago
- A list of multi-task learning papers and projects.☆390Jan 31, 2022Updated 4 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆161Nov 9, 2023Updated 2 years ago
- A lightweight module for Multi-Task Learning in pytorch.☆168Aug 7, 2023Updated 3 years ago
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆147Mar 28, 2025Updated last year
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆271Aug 9, 2022Updated 4 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆407Jun 22, 2021Updated 5 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆737Feb 7, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials…☆14,379Feb 18, 2025Updated last year
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆135May 9, 2024Updated 2 years ago
- This repository periodicly updates the MTL paper and resources☆89Aug 5, 2025Updated last year
- A comprehensive list of gradient-based multi-objective optimization algorithms in deep learning.☆120Aug 8, 2025Updated last year
- Awesome Multitask Learning Resources☆672Apr 13, 2021Updated 5 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆347Jan 23, 2026Updated 9 months ago
- 🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.…☆12,181Mar 16, 2026Updated 7 months ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆37,262Updated this week
- Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)☆55Nov 30, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆144Jan 2, 2020Updated 6 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆567Nov 1, 2021Updated 5 years ago
- Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, I…☆13,003Updated this week
- multi task mode for esmm and mmoe☆159Jul 22, 2021Updated 5 years ago
- Implement the Pareto Optimizer and pcgrad to make a self-adaptive loss for multi-task☆44Oct 26, 2021Updated 5 years ago
- Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization☆3,943May 10, 2024Updated 2 years ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆872Jul 6, 2020Updated 6 years ago
- Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Py…☆25,554Updated this week
- All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等☆517May 7, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.☆140Dec 22, 2020Updated 5 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆374Apr 28, 2020Updated 6 years ago
- This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".☆16,085Jul 24, 2024Updated 2 years ago
- Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Py…☆327Apr 24, 2024Updated 2 years ago
- CVPR 2026 论文和开源项目合集☆22,934Mar 8, 2026Updated 7 months ago
- 深度学习经典、新论文逐段精读☆34,053Mar 22, 2025Updated last year
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆147Aug 12, 2021Updated 5 years ago