Projects in Awesome Lists tagged with multitask-learning

https://github.com/salesforce/decaNLP

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-learning multitask-learning natural-language-processing

Last synced: 09 May 2025

https://github.com/salesforce/decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-learning multitask-learning natural-language-processing

Last synced: 14 Apr 2025

https://github.com/median-research-group/libmtl

A PyTorch Library for Multi-Task Learning

deep-learning mmoe mtl multi-domain-learning multi-objective-optimization multi-task-learning multiobjective-optimization multitask-learning ple python pytorch

Last synced: 14 May 2025

https://github.com/hustvl/yolop

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

autonomous-driving drivable-area-segmentation jetson-tx2 lane-detection multitask-learning object-detection

Last synced: 15 May 2025

https://github.com/median-research-group/LibMTL

A PyTorch Library for Multi-Task Learning

deep-learning mmoe mtl multi-domain-learning multi-objective-optimization multi-task-learning multiobjective-optimization multitask-learning ple python pytorch

Last synced: 20 Mar 2025

https://github.com/hustvl/YOLOP

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

autonomous-driving drivable-area-segmentation jetson-tx2 lane-detection multitask-learning object-detection

Last synced: 20 Mar 2025

https://github.com/nyu-mll/jiant

jiant is an nlp toolkit

bert multitask-learning nlp sentence-representation transfer-learning transformers

Last synced: 14 May 2025

https://github.com/clue-ai/promptclue

PromptCLUE, 全中文任务支持零样本学习模型

bert chinese few-shot-learning gpt-3 multitask-learning pretrained-models prompt-tuning roberta t5-model transfer-learning zero-shot-learning

Last synced: 04 Apr 2025

https://github.com/clue-ai/PromptCLUE

PromptCLUE, 全中文任务支持零样本学习模型

bert chinese few-shot-learning gpt-3 multitask-learning pretrained-models prompt-tuning roberta t5-model transfer-learning zero-shot-learning

Last synced: 09 May 2025

https://github.com/datvuthanh/HybridNets

HybridNets: End-to-End Perception Network

autonomous-driving bifpn detection end2end-network hybridnets multitask-learning segmentation

Last synced: 20 Mar 2025

https://github.com/jayyip/m3tl

BERT for Multitask Learning

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

Last synced: 13 Dec 2025

https://github.com/JayYip/m3tl

BERT for Multitask Learning

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

Last synced: 02 Apr 2025

https://github.com/bigscience-workshop/xmtf

Crosslingual Generalization through Multitask Finetuning

bloom bloomz instruction-tuning language-models large-language-models mt0 multilingual-nlp multitask-learning t5 zero-shot-learning

Last synced: 09 Apr 2025

https://github.com/mahmoudnafifi/Deep_White_Balance

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

auto-encoder auto-white-balance autoencoder color-constancy color-correction color-enhancement color-manipulation color-processing computational-photography cvpr-2020 cvpr20 cvpr2020 deep-white-balance deeplearning image-enhancement image-manipulation multitask-learning white-balance whitebalance

Last synced: 07 Apr 2025

https://github.com/subho406/OmniNet

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

artificial-intelligence deep-learning image-captioning machine-learning multimodal-learning multitask-learning neural-network nlp transformer video-recognition

Last synced: 19 Jul 2025

https://github.com/abess-team/abess

Fast Best-Subset Selection Library

best-subset-selection classification-algorithm cox-regression feature-selection high-dimensional-data linear-regression logistic-regression machine-learning multitask-learning ordinal-regression poisson-regression polynomial-algorithm principal-component-analysis python r robust-principal-component-analysis scikit-learn sparse-principal-component-analysis sure-independence-screening

Last synced: 15 May 2025

https://github.com/dsxiangli/chinesener

中文NER的那些事儿

adversarial-transfer-learning bert bert-bilstm-crf bert-fine-tuning bilstm-crf chinese-ner chinesener crf data-augmentation mrc msr msra multitask-learning muti-task ner people-daily tensorflow tensorflow-serving tensorflow-serving-grpc tf-serving

Last synced: 06 Apr 2025

https://github.com/TorchJD/torchjd

Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).

deep-learning jacobian-descent multi-objective-optimization multi-task-learning multiobjective-optimization multitask-learning optimization python pytorch torch

Last synced: 16 Nov 2025

https://github.com/easezyc/Multitask-Recommendation-Library

MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

advertising ctr-prediction multitask-learning multitask-recommendation recommendation recommender-system transfer-learning

Last synced: 11 May 2025

https://github.com/torchjd/torchjd

Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).

deep-learning jacobian-descent multi-objective-optimization multi-task-learning multiobjective-optimization multitask-learning optimization python pytorch torch

Last synced: 16 May 2025

https://github.com/nadeemlab/DeepLIIF

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]

ai-ready cell-biology cell-segmentation cloud-native-applications datasets deep-learning digital-pathology image-segmentation immunohistochemical-images immunohistochemistry multiplex multitask-learning pathology pathology-gan pathology-image pytorch segmentation stitching super-resolution whole-slide-imaging

Last synced: 06 May 2025

https://github.com/hosseinshn/gradnorm

This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018

multitask-learning

Last synced: 21 Aug 2025

https://github.com/ofa-sys/ofasys

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models

audio computer-vision deep-learning motion multimodal-learning multitask-learning nlp pretrained-models pytorch transformers vision-and-language

Last synced: 24 Oct 2025

https://github.com/hosseinshn/basic-multi-task-learning

This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow

multitask-learning pytorch tensorflow

Last synced: 14 Apr 2025

https://github.com/adamdad/knowledgefactor

[ECCV2022] Factorizing Knowledge in Neural Networks

deep-learning distillation eccv2022 kd knowldge-distillation knowledge-transfer multitask-learning pytorch

Last synced: 15 Apr 2025

https://github.com/lucasbotang/gradnorm

PyTorch implementation of the GradNorm

deep-learning gradnorm multitask-learning python pytorch

Last synced: 16 Mar 2025

https://github.com/ParitoshParmar/MTL-AQA

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

action-quality-assessment action-recognition c3d captioning dilated-c3d dilated-convolution fine-grained-action-recognition fine-grained-classification lstm mtl-aqa multitask-learning pytorch representation-learning video-captioning video-processing video-understanding

Last synced: 02 Apr 2025

https://github.com/ml-jku/l2m

Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)

continual-learning decision-transformers fine-tuning lora multitask-learning reinforcement-learning robotics

Last synced: 24 Oct 2025

https://github.com/CAMTL/CA-MTL

Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data

ca-mtl multitask-learning natural-language-processing natural-language-understanding

Last synced: 09 May 2025

https://github.com/tum-pbs/config

[ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method

continual-learning deep-learning multitask-learning physics-informed-neural-networks pinns

Last synced: 09 Apr 2025

https://github.com/AmazaspShumik/mtlearn

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

cross-stitch experts kdd2018 keras mixture-of-experts multi-task-learning multitask-learning papers-reproduced papers-with-code recsys2019 tensorflow2

Last synced: 04 May 2025

https://github.com/hristo-vrigazov/dnn.cool

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.

catalyst deep-learning deep-neural-network deep-neural-networks multitask-learning multitasking pytorch task-composition task-precondition

Last synced: 23 Aug 2025

https://github.com/facebookresearch/adatt

pytorch open-source library for the paper "AdaTT Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations"

moe mtl multitask-learning

Last synced: 08 Apr 2025

https://github.com/mohammadmozafari/advanced-machine-learning

This repo contains the implementation of some new papers on some advanced topics of machine learning e.g. meta-learning, reinforcement-learning, meta-reinforcement-learning, continual-learning and etc.

continual-learning goal-conditioned-rl maml meta-rl multitask-learning prototypical-networks snail

Last synced: 10 Apr 2025

https://github.com/gt4sd/multitask_text_and_chemistry_t5

Code for "Unifying Molecular and Textual Representations via Multi-task Language Modelling" @ ICML 2023

generative-model language-model multidomain multitask-learning

Last synced: 13 Apr 2025

https://github.com/jinglescode/ssvep-multi-task-learning

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.

bci brain-computer-interface cnn convolutional-neural-network deep-learning eeg multitask-learning pytorch ssvep

Last synced: 15 Apr 2025

https://github.com/bond005/yandex-shifts-weather

The best solution of the Weather Prediction track in the Yandex Shifts challenge

deep-ensemble deep-learning hierarchical-multitask-learning multitask-learning regression self-normalizing-neural-networks shifts uncertainty uncertainty-estimation yandex-shifts-challenge

Last synced: 23 Mar 2025

https://github.com/kentonishi/jtr-cvpr-2024

[CVPR 2024] Joint-Task Regularization for Partially Labeled Multi-Task Learning

computer-vision cvpr2024 machine-learning multitask-learning

Last synced: 23 Mar 2025

https://github.com/ai-forever/fbc2_aij2022

FusionBrain Challenge 2.0: creating multimodal multitask model

multimodal-fusion multitask-learning

Last synced: 07 Jul 2025

https://github.com/baijiong-lin/moml

[NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning

deep-learning domain-adaptation metalearning multi-objective-optimization multi-task-learning multiobjective-optimization multitask-learning pytorch

Last synced: 13 Apr 2025

https://github.com/chao1224/sgnn-ebm

Structured Multi-task Learning for Molecular Property Prediction, AISTATS'22 (https://proceedings.mlr.press/v151/liu22e.html)

chembl chembl-string energy-based-model knowledge-graph molecule multitask-learning ppi-networks string

Last synced: 18 Mar 2025

https://github.com/bdbc-kg-nlp/recurrent_interaction_network_emnlp2020

Here is the code for the paper ``Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations'' accepted by EMNLP2020.

multitask-learning relation-extraction

Last synced: 02 May 2025

https://github.com/chenwr727/esmm_mmoe_deepfm

基于ESMM、MMoE和deepFM的多目标模型

deepfm esmm mmoe multitask-learning

Last synced: 01 Aug 2025

https://github.com/llnl/mtl-suite

Suite of multitask learning methods.

classification-algorithm machine-learning multitask-learning python regression-models

Last synced: 29 Apr 2025

https://github.com/firojalam/covid-19-disinformation

Dataset: Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society

check-worthyness dataset disinformation fact-check fact-checking factuality multilingual multilingual-learning multilingual-models multitask multitask-learning social-media social-media-analysis social-media-mining tweets tweets-classification twitter

Last synced: 16 Jun 2025

https://github.com/canxkoz/octa-segmentation

Multi-task Learning for OCTA Segmentation (DRAC2022)

multitask-learning retinal-vessel-segmentation segmentation

Last synced: 22 Jun 2025

https://github.com/jaydu1/causalmultioutcomes

Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes

causal-inference multiple-testing multitask-learning

Last synced: 10 Apr 2025

https://github.com/riccorl/elmo-wsd

Supervised end-to-end neural architecture that learns how to disambiguate words inside a text.

elmo keras multitask-learning natural-language-processing nlp sense-disambiguation-wsd tensorflow wsd

Last synced: 20 Feb 2025

https://github.com/bl0nder/regressify

A multi-task neural network coded from scratch that performs simultaneous regression and classification.

classification deep-learning multitask-learning neural-networks numpy regression

Last synced: 25 Oct 2025

https://github.com/aishwaryahastak/mtl_distillbert

Mutli-Task Transformer Based Model

classification fine-tuning large-language-models multitask-learning regression sentence-transformers

Last synced: 22 Feb 2025

https://github.com/asad-ismail/smn

Scaleable multitask Network

deep-learning image-processing instance-segmentation keypoint-detection multitask-learning phenomics phenotyping pytorch vegetable

Last synced: 13 May 2025

https://github.com/augus1999/akane

AsymmetriC AutoeNcodEr (ACANE → AkAne). This model is part of MSc Electrochemistry and Battery Technologies project (2022 - 2023), University of Southampton.

chemistry deep-neural-networks denovo-design graph-neural-networks machine-learning multitask-learning pytorch-implementation transformer

Last synced: 07 May 2025

https://github.com/geraltofrivia/thesis-domainadv-recurrentlm

The codebase which was used for my Masters's Thesis - Domain Adversarial Training for Recurrent Language Models

deep-learning domain-adaptation language-model multitask-learning natural-language-processing text-classification transfer-learning

Last synced: 18 Jun 2025

https://github.com/bdbc-kg-nlp/amt-sit_www2020

Code and dataset for our paper "Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification", WWW2020

deep-learning multitask-learning natural-language-processing neural-network pseudo-labeling transfer-learning