multitask-learning

A PyTorch Library for Multi-Task Learning

The Natural Language Decathlon: A Multitask Challenge for NLP

Benchmarking Knowledge Transfer in Lifelong Robot Learning

You Only Look Once for Panopitic Driving Perception.（MIR2022）

jiant is an nlp toolkit

HybridNets: End-to-End Perception Network

PromptCLUE, 全中文任务支持零样本学习模型

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

BERT for Multitask Learning

Crosslingual Generalization through Multitask Finetuning

Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

Fast Best-Subset Selection Library

Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).

A list of multi-task learning papers and projects.

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

中文NER的那些事儿

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24, MICCAI'26]

[CVPR2023] Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance