The Natural Language Decathlon: A Multitask Challenge for NLP
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Updated
Jan 11, 2024 - Python
The Natural Language Decathlon: A Multitask Challenge for NLP
You Only Look Once for Panopitic Driving Perception.(MIR2022)
jiant is an nlp toolkit
A PyTorch Library for Multi-Task Learning
BERT for Multitask Learning
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.
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
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]
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.
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
Fast Best-Subset Selection Library
Crosslingual Generalization through Multitask Finetuning
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
BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)
[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"
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