multitask-learning

The Natural Language Decathlon: A Multitask Challenge for NLP

jiant is an nlp toolkit

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

A PyTorch Library for Multi-Task Learning

BERT for Multitask Learning

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

PromptCLUE, 全中文任务支持零样本学习模型

HybridNets: End-to-End Perception Network

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

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.

Fast Best-Subset Selection Library

中文NER的那些事儿

Crosslingual Generalization through Multitask Finetuning

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

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

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"

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models