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multi-task-learning

Here are 113 public repositories matching this topic...

namisan / mt-dnn

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Multi-Task Deep Neural Networks for Natural Language Understanding

microsoft deep-learning named-entity-recognition ranking natural-language-understanding multi-task-learning

Updated Jun 10, 2020
Python

huggingface / hmtl

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🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

nlp natural-language-processing pytorch multi-task-learning

Updated Jun 6, 2020
Python

lambdaji / tf_repos

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TensorFlow Script

deep-learning tensorflow wide-and-deep ctr-prediction multi-task-learning din deepfm pnn

Updated Dec 14, 2018
Python

JayYip / bert-multitask-learning

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BERT for Multitask Learning

nlp text-classification transformer named-entity-recognition pretrained-models part-of-speech ner word-segmentation bert cws encoder-decoder multi-task-learning multitask-learning

Updated Jun 13, 2020
Python

santi-pdp / pase

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Problem Agnostic Speech Encoder

deep-learning pytorch unsupervised-learning speech-processing multi-task-learning waveform-analysis self-supervised-learning

Updated May 20, 2020
Python

lorenmt / mtan

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The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

pytorch multi-task-learning attention-model

Updated May 7, 2020
Python

mbs0221 / Multitask-Learning

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Awesome Multitask Learning Resources

machine-learning deep-learning transfer-learning convex-optimization domain-adaptation multi-task-learning meta-learning federated-learning few-shot-learning sparse-learning

Updated Apr 22, 2020

drawbridge / keras-mmoe

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A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

data-science machine-learning deep-neural-networks deep-learning tensorflow keras multi-task-learning kdd2018 mixture-of-experts

Updated Feb 5, 2020
Python

hwwang55 / MKR

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A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)

knowledge-graph recommender-systems multi-task-learning

Updated Nov 22, 2019
Python

sebastianruder / sluice-networks

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Code for Sluice networks: Learning what to share between loosely related tasks

machine-learning natural-language-processing deep-learning transfer-learning multi-task-learning

Updated Jan 28, 2019
Python

truongnmt / multi-task-learning

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Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

deep-learning neural-network tensorflow jupyter-notebook imdb dataset face ipynb image-classification gender age gender-classification mtcnn genki smile-detection multi-task-learning age-estimation gender-estimation imdb-wiki

Updated Jun 19, 2018
Jupyter Notebook

SunnyMarkLiu / lic2019-dureader2.0-rank2

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Rank2 solution (no-BERT) for 2019 Language and Intelligence Challenge - DuReader2.0 Machine Reading Comprehension.

tensorflow multi-task-learning machine-reading-comprehension dureader paragraph-selection

Updated Nov 1, 2019
Python

polaroidz / multitask_sentiment_analysis

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Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

natural-language-processing deep-learning pytorch recurrent-neural-networks lstm multi-task-learning

Updated Aug 17, 2017
Python

DFKI-NLP / TRE

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[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations

nlp machine-learning information-extraction transformer relation-extraction multi-task-learning

Updated May 7, 2019
Python

tianheyu927 / PCGrad

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Code for "Gradient Surgery for Multi-Task Learning"

deep-learning deep-reinforcement-learning multi-task-learning

Updated Apr 28, 2020
Python

PaddlePaddle / PALM

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a Fast, Flexible, Extensible and Easy-to-use NLP Large-scale Pretraining and Multi-task Learning Framework.

nlp transformers baidu multi-task-learning paddlepaddle pretrain-model

Updated Jun 8, 2020
Python

lorenmt / maxl

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The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].

pytorch multi-task-learning meta-learning auxiliary-learning

Updated Jun 3, 2020
Python

shashanktyagi / HyperFace-TensorFlow-implementation

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HyperFace

deep-learning tensorflow gender-recognition face-analysis pose-estimation multi-task-learning hyperface face-landmark-detection

Updated Apr 6, 2018
Python

hav4ik / Hydra

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Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.

deep-learning pytorch multi-objective-optimization multi-task-learning neural-architecture-search

Updated Jun 3, 2019
Python

DFKI-NLP / DISTRE

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[ACL 19] Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction

nlp machine-learning information-extraction transformer relation-extraction distant-supervision multi-task-learning

Updated Sep 24, 2019
Python

lidq92 / CNNIQAplusplus

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PyTorch Implementation of image quality assessment methods: IQA-CNN++ in ICIP2015 and IQA-CNN in CVPR2014

pytorch convolutional-neural-networks quality-metrics multi-task-learning image-quality-assessment blind-image-quality-assessment distortion-classification

Updated Jan 28, 2020
Python

jianing-sun / Mask-YOLO

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Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

computer-vision detection yolo multi-task-learning mask-rcnn mobilenetv2

Updated Oct 29, 2019
Jupyter Notebook

gjy3035 / PCC-Net

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PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

computer-vision multi-task-learning crowd-counting crowd-analysis

Updated Mar 12, 2020
Python

yhlleo / DeepSegmentor

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A Pytorch implementation of DeepCrack and RoadNet projects.

deep-neural-networks deep-learning dataset edge-detection image-segmentation centerline-detection road-detection multi-task-learning crack-detection

Updated Feb 16, 2020
Python

wchliao / multi-task-image-classification

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Multi-task learning for image classification implemented in PyTorch.

machine-learning deep-learning pytorch cifar10 multi-task-learning omniglot cifar-100

Updated Oct 8, 2018
Python

maudzung / TTNet-Realtime-for-Table-Tennis-Pytorch

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TTNet: Real-time temporal and spatial video analysis of table tennis (CVPR 2020)

table-tennis pytorch segmentation event-detection sport-analytics multi-task-learning tabletennis dice-loss ttnet distributed-data-parallel spatial-video-analysis event-spotting

Updated Jun 19, 2020
Python

luogen1996 / MCN

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[CVPR2020] Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation, CVPR2020 (oral)

multi-task-learning cvpr2020 referring-expression-segmentation referring-expression-comprehension

Updated Mar 23, 2020
Python

emmental

SenWu / emmental

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A deep learning framework for building multimodal multi-task learning systems.

machine-learning multimodality multi-task-learning

Updated Jun 13, 2020
Python

DrSleep / DenseTorch

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An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

deep-learning pytorch semantic-segmentation depth-estimation multi-task-learning

Updated Jun 5, 2020
Python

hardianlawi / MTL-Homoscedastic-Uncertainty

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Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow

deep-learning neural-network tensorflow uncertainty estimator uncertainties multi-task-learning homoscedastic homoskedastic

Updated Sep 1, 2018
Jupyter Notebook

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