Here are
46 public repositories
matching this topic...
The Natural Language Decathlon: A Multitask Challenge for NLP
Updated
Oct 7, 2019
Python
Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
Updated
Jul 24, 2019
Python
BERT for Multitask Learning
Updated
May 21, 2020
Python
End-to-end ASR/LM implementation with pytorch.
Updated
May 21, 2020
Python
Updated
Dec 3, 2019
Python
[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
Updated
Apr 10, 2020
Python
Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
Updated
Jan 20, 2020
Python
Multitask learning: protein secondary structure prediction, b-values prediction and solvent-accessibility prediction
Updated
Aug 23, 2018
Python
*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach
Updated
Oct 30, 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
May 16, 2020
Python
WIP implementation of "Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes"
Updated
May 20, 2020
Python
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
Updated
May 2, 2020
Python
Biomedical Event Extraction on CORD-19
Updated
Apr 26, 2020
Python
Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). Our method is a deep learning multi-task framework for white-balance editing.
End-to-end multimodal emotion and gender recognition with dynamic weights of joint loss
Updated
Sep 13, 2018
Python
Visual Question Answering System
Updated
Nov 13, 2019
Python
sentiment analysis on multi-tasks using adversarial network
Updated
Jun 10, 2018
Python
My notes and assignment solutions for Stanford CS330 (Fall 2019) Deep Multi-Task and Meta Learning
Updated
May 19, 2020
Jupyter Notebook
Machine learning model implementations using pytorch, fastai, pytorch-lightning
Updated
Apr 14, 2020
Jupyter Notebook
Multi-Task Neural Models for Translating Between Styles Within and Across Languages
Updated
Nov 28, 2019
Shell
Suite of multitask learning methods.
Updated
Jun 19, 2019
Python
Fake news detection in Filipino via Multitask Transfer Learning
Multi-task Sparse Structure Learning method in Python
Updated
Jun 8, 2018
Python
Supervised end-to-end neural architecture that learns how to disambiguate words inside a text.
Updated
Jan 29, 2020
Python
Chapter 10: Multi-task Learning
Updated
Jul 23, 2019
Python
Multitask Learning for Transcriptional Regulatory Network Inference in Julia
Updated
Aug 10, 2018
Fortran
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
Updated
Jan 24, 2019
Jupyter Notebook
A Natural Language Learning Toolkit
Updated
Mar 9, 2020
Python
Evaluate language models on syntactic tasks.
Updated
Apr 25, 2019
Python
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Currently, we are not logging macro/micro averages on Tensorboard since it was appearing strangely in the interface (picture below), so it was removed.
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