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The Wayback Machine - https://webcf.waybackmachine.org/web/20210829042257/https://github.com/topics/multitask-learning
Here are
93 public repositories
matching this topic...
The Natural Language Decathlon: A Multitask Challenge for NLP
Updated
on Aug 26, 2021
Python
Updated
on Jul 26, 2021
Python
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
Updated
on Oct 31, 2020
Python
BERT for Multitask Learning
Updated
on Jul 13, 2021
Jupyter Notebook
Updated
on Aug 29, 2021
Python
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Updated
on Aug 25, 2021
Python
Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.
Updated
on Jul 17, 2021
Python
A list of multi-task learning papers and projects.
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Updated
on Mar 1, 2021
Python
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Updated
on Jun 8, 2021
Python
reference pytorch code for named entity tagging
Updated
on Aug 9, 2021
Python
[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"
Updated
on Aug 12, 2021
Jupyter Notebook
Updated
on Dec 3, 2019
Python
Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
Updated
on Jan 20, 2020
Python
Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]
Updated
on Aug 26, 2021
Python
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.
Updated
on Aug 25, 2021
Python
Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs
Updated
on Aug 23, 2021
Python
Code for "Multi-task Reinforcement Learning with Soft Modularization"
Updated
on Dec 28, 2020
Python
BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)
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on Jul 12, 2021
Python
Code for our IEEE TIP 2020 paper "Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton"
Updated
on Aug 27, 2020
Python
My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
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on Aug 25, 2021
Jupyter Notebook
Updated
on Aug 28, 2021
Python
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
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on Aug 5, 2021
Python
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
Updated
on Jul 28, 2021
Python
Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction
Updated
on Aug 23, 2018
Python
Code for the paper "Multi-Task Learning for Domain-General Spoken Disfluency Detection in Dialogue Systems" (Igor Shalyminov, Arash Eshghi, and Oliver Lemon)
Updated
on Aug 25, 2021
Python
Deep Learning Inferred Multiplex ImmunoFluoroscence for IHC Image Quantification
Updated
on Aug 28, 2021
Python
*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
Updated
on Oct 30, 2018
Python
WIP implementation of "Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes"
Updated
on May 20, 2020
Python
Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-independent solution, desirable for clinical diagnostics. A stepping stone for an objective assessment of glaucoma patients’ visual field.
Updated
on Dec 20, 2020
Python
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