There are 17 repositories under multitask-learning topic.
The Natural Language Decathlon: A Multitask Challenge for NLP
A PyTorch Library for Multi-Task Learning
PromptCLUE, 全中文任务支持零样本学习模型
HybridNets: End-to-End Perception Network
Crosslingual Generalization through Multitask Finetuning
Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.
Fast Best-Subset Selection Library
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
A list of multi-task learning papers and projects.
中文NER的那些事儿
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
Benchmarking Knowledge Transfer in Lifelong Robot Learning
This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"
multi task mode for esmm and mmoe
Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
Code for "Multi-task Reinforcement Learning with Soft Modularization"
Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
[SIGIR'24] The official implementation code of MOELoRA.
[ECCV2022] Factorizing Knowledge in Neural Networks
BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)
(ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_With_Task_Routing_ICCV_2019_paper.html
Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)
Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs