An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with multi-task-learning

A curated list of projects in awesome lists tagged with multi-task-learning .

https://github.com/nvlabs/prismer

The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".

image-captioning language-model multi-modal-learning multi-task-learning vision-and-language vision-language-model vqa

Last synced: 16 May 2025

https://github.com/huggingface/hmtl

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

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

Last synced: 16 May 2025

https://github.com/megvii-research/petr

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

3d-position-embedding multi-camera multi-task-learning object-detection segmentation

Last synced: 01 Feb 2026

https://github.com/megvii-research/PETR

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

3d-position-embedding multi-camera multi-task-learning object-detection segmentation

Last synced: 20 Mar 2025

https://github.com/SimonVandenhende/Multi-Task-Learning-PyTorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

computer-vision eccv2020 multi-task-learning nyud pascal pytorch scene-understanding segmentation

Last synced: 06 May 2025

https://github.com/simonvandenhende/multi-task-learning-pytorch

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

computer-vision eccv2020 multi-task-learning nyud pascal pytorch scene-understanding segmentation

Last synced: 04 Apr 2025

https://github.com/codefuse-ai/mftcoder

High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.

customizable multi-model-support multi-task-fine-tuning multi-task-learning user-friendly

Last synced: 15 May 2025

https://github.com/codefuse-ai/MFTCoder

High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.

customizable multi-model-support multi-task-fine-tuning multi-task-learning user-friendly

Last synced: 12 Apr 2025

https://github.com/lorenmt/mtan

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

attention-model multi-task-learning pytorch

Last synced: 08 May 2025

https://github.com/mikoto10032/automaticweightedloss

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

auxiliary-tasks deep-learning multi-task multi-task-learning pytorch weigh-losses

Last synced: 05 Apr 2025

https://github.com/smousavi05/EQTransformer

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

attention-mechanism deep-learning detection earthquakes global lstm-neural-networks multi-task-learning neural-network phase-picking stead transformer

Last synced: 08 May 2025

https://github.com/hwwang55/MKR

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

knowledge-graph multi-task-learning recommender-systems

Last synced: 12 May 2025

https://github.com/tianheyu927/pcgrad

Code for "Gradient Surgery for Multi-Task Learning"

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

Last synced: 10 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/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/alibaba/torcheasyrec

An easy-to-use framework for large scale recommendation algorithms.

deepfm din dlrm dssm mind multi-task-learning recommendation-algorithms recommender-system tdm

Last synced: 14 Oct 2025

https://github.com/PaddlePaddle/PALM

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

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

Last synced: 19 Jul 2025

https://github.com/microsoft/mt-dnn

Multi-Task Deep Neural Networks for Natural Language Understanding

mt-dnn multi-task-learning natural-language-processing natural-language-understanding

Last synced: 21 Aug 2025

https://github.com/chrisby/torchMTL

A lightweight module for Multi-Task Learning in pytorch.

deep-learning framework machine-learning mtl multi-task-learning python3 pytorch

Last synced: 08 May 2025

https://github.com/chrisby/torchmtl

A lightweight module for Multi-Task Learning in pytorch.

deep-learning framework machine-learning mtl multi-task-learning python3 pytorch

Last synced: 07 Apr 2025

https://github.com/microsoft/MT-DNN

Multi-Task Deep Neural Networks for Natural Language Understanding

mt-dnn multi-task-learning natural-language-processing natural-language-understanding

Last synced: 15 Jul 2025

https://github.com/sebastianruder/sluice-networks

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

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

Last synced: 24 Mar 2025

https://github.com/hav4ik/Hydra

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

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

Last synced: 08 May 2025

https://github.com/luogen1996/mcn

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

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

Last synced: 14 Jul 2025

https://github.com/lorenmt/auto-lambda

The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].

auxiliary-learning meta-learning multi-task-learning

Last synced: 08 May 2025

https://github.com/senwu/emmental

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

machine-learning multi-task-learning multimodality

Last synced: 10 Apr 2025

https://github.com/DFKI-NLP/TRE

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

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

Last synced: 31 Mar 2025

https://github.com/amazon-science/meta-q-learning

Code for the paper "Meta-Q-Learning"( ICLR 2020)

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

Last synced: 03 May 2025

https://github.com/wchliao/multi-task-image-classification

Multi-task learning for image classification implemented in PyTorch.

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

Last synced: 08 May 2025

https://github.com/TissueImageAnalytics/cerberus

One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

computational-pathology deep-learning multi-task-learning python pytorch

Last synced: 06 May 2025

https://github.com/gjy3035/pcc-net

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

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

Last synced: 10 Apr 2025

https://github.com/rucaibox/mvp

This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation.

data-to-text dialog multi-task-learning natural-language-generation natural-language-processing nlg nlp plm pre-trained-model question-answering question-generation seq2seq sequence-to-sequence story-generation summarization text-generation

Last synced: 15 Feb 2026

https://github.com/RUCAIBox/MVP

This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation.

data-to-text dialog multi-task-learning natural-language-generation natural-language-processing nlg nlp plm pre-trained-model question-answering question-generation seq2seq sequence-to-sequence story-generation summarization text-generation

Last synced: 09 May 2025

https://github.com/drsleep/densetorch

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

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

Last synced: 20 Apr 2025

https://github.com/pris-cv/fine-grained-or-not

Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)

fine-grained fine-grained-classification fine-grained-visual-categorization hierarchy-analysis multi-task-learning

Last synced: 24 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/VICO-UoE/MTPSL

Learning Multiple Dense Prediction Tasks from Partially Annotated Data - CVPR 2022

multi-task-learning partially-supervised semi-supervised-learning

Last synced: 08 May 2025

https://github.com/zhangxiaoyu11/OmiEmbed

Multi-task deep learning framework for multi-omics data analysis

cancer deep-learning multi-omics multi-task-learning

Last synced: 08 May 2025

https://github.com/nlpatvcu/multitasking_transformers

Multitask Learning with Pretrained Transformers

bert clinical-nlp deep-learning multi-task-learning

Last synced: 17 Apr 2025

https://github.com/ddlbojack/mt4ssl

Official implementation for MT4SSL: Boosting Self-Supervised Speech Representation Learning by Integrating Multiple Targets

multi-task-learning self-supervised-learning speech-recognition unsupervised-learning

Last synced: 11 Jul 2025

https://github.com/ukplab/mdl-stance-robustness

Multi-dataset stance detection and robustness experiments

benchmark multi-dataset-learning multi-task-learning robustness stance stance-detection

Last synced: 18 Jun 2025

https://github.com/amazon-science/replay-based-recurrent-rl

Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"

meta-learning multi-task-learning reinforcement-learning

Last synced: 04 Jul 2025

https://github.com/ayaanzhaque/MultiMix

MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images (ISBI 2021, MELBA 2021)

deep-learning isbi-2021 medical-imaging melba multi-task-learning segmentation semi-supervised-learning

Last synced: 08 May 2025

https://github.com/borealisai/mmoeex-mtl

PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)

mixture-of-experts multi-task-learning pytorch

Last synced: 07 Apr 2025

https://github.com/chao1224/Loss-Balanced-Task-Weighting

Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19

molecule multi-task-learning negative-transfer transfer-learning

Last synced: 05 Apr 2025

https://github.com/chao1224/loss-balanced-task-weighting

Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19

molecule multi-task-learning negative-transfer transfer-learning

Last synced: 29 Jul 2025

https://github.com/chenglongchen/tensorflow-asp-mtl

A Tensorflow implementation of Adversarial Shared-Private Model for Multi-Task Learning and Transfer Learning.

adversarial-learning multi-task-learning transfer-learning

Last synced: 10 Apr 2025

https://github.com/andrewekhalel/mtl_pan_seg

Implementation of "Multi-task Deep Learning for Satellite Image Pansharpening and Segmentation"

multi-task-learning pansharpening satellite-imagery segmentation tensorflow

Last synced: 13 Apr 2025

https://github.com/andrewekhalel/MTL_PAN_SEG

Implementation of "Multi-task Deep Learning for Satellite Image Pansharpening and Segmentation"

multi-task-learning pansharpening satellite-imagery segmentation tensorflow

Last synced: 08 May 2025

https://github.com/shunk031/multi-task-conditional-attention-networks

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

advertising attention-mechanism chainer kdd2019 multi-task-learning

Last synced: 30 Apr 2025

https://github.com/ziyaogeng/mtrec

A simple package about multi-task recommendation

mmoe multi-task multi-task-learning recommender-system

Last synced: 18 Aug 2025

https://github.com/thuml/forkmerge

Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)

auxiliary-task-learning multi-task-learning

Last synced: 15 Feb 2026

https://github.com/ml-jku/ra-dt

Retrieval-Augmented Decision Transformer: External Memory for In-context RL

decision-transformers multi-task-learning reinforcement-learning retrieval-augmented-generation

Last synced: 29 Apr 2025

https://github.com/arthurleroy/magmaclustr

Clustering and Predictions with Multi-Task Gaussian Processes

gaussian-processes multi-task-learning multi-task-prediction r r-package

Last synced: 25 Jul 2025

https://github.com/nik-dim/pamal

Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]

icml-2023 mtl multi-task-learning multitask-learning pareto-front weight-ensemble

Last synced: 16 Jan 2026

https://github.com/atharva-naik/vadec

Codes and Datasets for our SIGIR 2021 Paper: "Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach"

coarse-grained-emotion-analysis emotion-analysis fine-grained-emotion-analysis multi-task-learning natural-language-processing nlp sentiment-analysis tweets valence-arousal-dominance

Last synced: 17 Jun 2025

https://github.com/gentaiscool/multi-task-cs-lm

Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning (CALCS 2018, ACL)

code-switching joint-learning language-model multi-task-learning

Last synced: 28 Oct 2025

https://github.com/materight/trinet-identity-attribute-recognition

A multi-task learning approach to person re-identification and attribute recognition. Written in PyTorch, trained and evaluated on the Market-1501 dataset.

deep-learning multi-task-learning pytorch

Last synced: 08 May 2025

https://github.com/lawhy/multi-task-nmtransliteration

The Pytorch implementation of the Multi-task Neural Machine Transliteration system.

dataset deep-learning multi-task-learning natural-language-processing neural-machine-transliteration pytorch

Last synced: 11 Mar 2026

https://github.com/shreyas-kowshik/nlp4if

Code for the runners up entry on the English subtask on the Shared-Task-On-Fighting the COVID-19 Infodemic, NLP4IF workshop, NAACL'21.

deep-learning multi-head-attention multi-task-learning naacl2021 natural-language-processing

Last synced: 03 Aug 2025

https://github.com/tjyuyao/ice-learn

A high-level Deep Learning framework that extends PyTorch and PyCUDA.

framework modular multi-task-learning pycuda pytorch

Last synced: 30 Sep 2025

https://github.com/applied-machine-learning-lab/tapo

Code implementation of ICASSP paper "TAPO: Task-Referenced Adaptation for Prompt Optimization"

automated-prompt-optimization large-language-models multi-task-learning prompt-engineering

Last synced: 22 Aug 2025

https://github.com/bellet/scml

Sparse Compositional Metric Learning

local-metrics machine-learning metric-learning multi-task-learning

Last synced: 03 Apr 2025

https://github.com/sileod/metaeval

Collection of tasks for meta-learning and extreme multitask learning

benchmark datasets huggingface-datasets meta-learning multi-task-learning natural-language-processing nlp task-embeddings

Last synced: 26 Jan 2026

https://github.com/andreped/nlp-mtl

Training neural networks to solve multiple tasks simultaneously from free text through multi-task learning

bert-embeddings keras multi-task-learning natural-language-processing neural-networks nlp scikit-learn

Last synced: 21 Dec 2025

https://github.com/rvk007/multi-env-decision-making

Making a single agent navigate through traffic across different environments.

decision-making deep-q-network deep-reinforcement-learning multi-task-learning reinforcement-learning

Last synced: 27 Jun 2025

https://github.com/thecml/mensa

MENSA: A Multi-Event Network for Survival Analysis with Trajectory-based Likelihood Estimation. Accepted at ML4H 2025.

competing-risks deep-learning mixture-model multi-event multi-task-learning survival-analysis weibull-distribution

Last synced: 11 Mar 2026

https://github.com/ennengyang/adatask

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.

multi-objective-optimization multi-task-learning

Last synced: 31 Oct 2025

https://github.com/notedance/pytorch-pcgrad

PyTorch Implementation of "Gradient Surgery for Multi-Task Learning" using multiprocessing

deep-learning deep-reinforcement-learning multi-task-learning multi-task-reinforcement-learning multi-task-rl optimizer pytorch reinforcement-learning

Last synced: 18 Jun 2025

https://github.com/agrover112/acute_inflammations

Prediction of acute inflammations of urinary bladder and acute nephritises using UCI Acute Inflammations Data Set.

acute-inflammations acute-nephritises functional-api health-data keras-tensorflow multi-output-networks multi-task-learning tensorf uci-machine-learning

Last synced: 29 Aug 2025

https://github.com/jrmeyer/interspeech-2018

I submitted this paper to Interspeech 2018. The paper was not accepted. The reviewer comments are included in the repo.

interspeech2018 kaldi multi-task-learning rejection

Last synced: 17 Jan 2026

https://github.com/cisco-open/multi-task-learning-library

This repository contains a Python library to simplify multi-task learning for computer vision models with shared backbones.

computer-vision multi-task-learning python

Last synced: 18 Mar 2025

https://github.com/notedance/pcgrad

TensorFlow reimplementation for "Gradient Surgery for Multi-Task Learning"

deep-learning deep-reinforcement-learning keras multi-task-learning reinforcement-learning tensorflow

Last synced: 09 Apr 2025

https://github.com/borealisai/dynashare-mtl

PyTorch Implementation of DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning

dynamic-neural-networks multi-task-learning pytorch

Last synced: 12 Apr 2025