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
A PyTorch Library for Multi-Task Learning
You Only Look Once for Panopitic Driving Perception.(MIR2022)
jiant is an nlp toolkit
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.
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
中文NER的那些事儿
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
[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
Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models
[SIGIR'24] The official implementation code of MOELoRA.
multi task mode for esmm and mmoe
Code for "Multi-task Reinforcement Learning with Soft Modularization"
Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)
Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
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