multitask-learning topic

A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.

hristo-vrigazov

Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)

AmazaspShumik

My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning

Luvata

Fast Best-Subset Selection Library

abess-team

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

subho406

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

mahmoudnafifi

BERT for Multitask Learning

JayYip

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

hellohaptik

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

hustvl

中文NER的那些事儿

DSXiangLi