Topic: multi-task-learning Goto Github

👇 Here are 309 public repositories matching this topic...

alaalab / instructcv
multi-task-learning,[ ICLR 2024 ] Official Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"
Organization: alaalab
Home Page: https://openreview.net/forum?id=Nu9mOSq7eH
diffusion-models generative-model multi-task-learning stable-diffusion text-to-image vision-language-model

alibaba / easyrec
multi-task-learning,A framework for large scale recommendation algorithms.
Organization: alibaba
recommendation-algorithms recommender-system dssm esmm mind deepfm dlrm autoint din eges

avivnavon / nash-mtl
multi-task-learning,Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]
User: avivnavon
multi-task-learning multi-task game-theory bargaining-game icml-2022

chrisby / torchmtl
multi-task-learning,A lightweight module for Multi-Task Learning in pytorch.
User: chrisby
deep-learning multi-task-learning pytorch framework python3 machine-learning mtl

cluebenchmark / pclue
multi-task-learning,pCLUE: 1000000+多任务提示学习数据集
Organization: cluebenchmark
Home Page: https://www.cluebenchmarks.com/clueai.html
chinese clue datasets multi-task-learning prompt-learning zero-shot-learning promptclue

codefuse-ai / mftcoder
multi-task-learning,High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs
Organization: codefuse-ai
multi-task-learning multi-task-fine-tuning multi-model-support

coopercoppers / pfn
multi-task-learning,EMNLP 2021 - A Partition Filter Network for Joint Entity and Relation Extraction
User: coopercoppers
relation-extraction nlp multi-task-learning

correr-zhou / repmode
multi-task-learning,[CVPR 2023 (Highlight)] Offical implementation of the paper "RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction".
User: correr-zhou
Home Page: https://arxiv.org/pdf/2212.10066.pdf
biomedical computer-vision cvpr2023 deep-learning dense-prediction machine-learning multi-task-learning

drawbridge / keras-mmoe
multi-task-learning,A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
Organization: drawbridge
machine-learning deep-learning data-science deep-neural-networks kdd2018 keras tensorflow multi-task-learning mixture-of-experts

guanrunwei / achelous
multi-task-learning,Achelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave Radar
User: guanrunwei
multi-modal-fusion multi-modal-learning multi-task-learning object-detection object-tracking panoptic-perception point-cloud-segmentation semantic-segmentation 4d-mmwave-radar

hasai666 / rec_pangu
multi-task-learning,rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.
User: hasai666
Home Page: https://hasai666.github.io/rec_pangu/
ctr-prediction deep-learning multi-task-learning ranking-algorithm recommendation-system comirec deepfm pytorch recommender-system collaborative-filtering

hav4ik / hydra
multi-task-learning,Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
User: hav4ik
deep-learning multi-task-learning neural-architecture-search pytorch multi-objective-optimization

huggingface / hmtl
multi-task-learning,🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
Organization: huggingface
natural-language-processing multi-task-learning nlp pytorch

hwwang55 / mkr
multi-task-learning,A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)
User: hwwang55
recommender-systems knowledge-graph multi-task-learning

ivclab / cpg
multi-task-learning,Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019
Organization: ivclab
deep-neural-networks continual-learning pytorch lifelong-learning classification-model multi-task-learning cpg face-recognition emotion-recognition age-gender-cnn

jayyip / m3tl
multi-task-learning,BERT for Multitask Learning
User: jayyip
Home Page: https://jayyip.github.io/m3tl/
bert named-entity-recognition nlp word-segmentation multitask-learning part-of-speech cws pretrained-models ner text-classification

lambdaji / tf_repos
multi-task-learning,TensorFlow Script
User: lambdaji
deep-learning ctr-prediction tensorflow multi-task-learning pnn deepfm wide-and-deep din

longmaoteamtf / deep_recommenders
multi-task-learning,Deep Recommenders
Organization: longmaoteamtf
deep-learning ranking retrieval recommendation-system multi-task-learning

lorenmt / auto-lambda
multi-task-learning,The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].
User: lorenmt
Home Page: https://shikun.io/projects/auto-lambda
multi-task-learning meta-learning auxiliary-learning

lorenmt / maxl
multi-task-learning,The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
User: lorenmt
Home Page: https://shikun.io/projects/meta-auxiliary-learning
meta-learning auxiliary-learning multi-task-learning pytorch

lorenmt / mtan
multi-task-learning,The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
User: lorenmt
Home Page: https://shikun.io/projects/multi-task-attention-network
multi-task-learning attention-model pytorch

luogen1996 / mcn
multi-task-learning,[CVPR2020] Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation, CVPR2020 (oral)
User: luogen1996
Home Page: https://arxiv.org/abs/2003.08813
cvpr2020 referring-expression-comprehension referring-expression-segmentation multi-task-learning

manchery / awesome-multi-task-learning
multi-task-learning,2023 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
User: manchery
Home Page: https://github.com/Manchery/awesome-multi-task-learning
multi-task-learning machine-learning deep-learning computer-vision loss-strategy multi-task-optimization multi-task-architecture deep-neural-networks transfer-learning multi-domain-learning

maudzung / ttnet-real-time-analysis-system-for-table-tennis-pytorch
multi-task-learning,Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
User: maudzung
Home Page: https://arxiv.org/pdf/2004.09927.pdf
dice-loss distributed-data-parallel event-detection event-spotting multi-task-learning pytorch segmentation spatial-video-analysis sport-analytics table-tennis tabletennis ttnet

mbs0221 / multitask-learning
multi-task-learning,Awesome Multitask Learning Resources
User: mbs0221
multi-task-learning deep-learning sparse-learning domain-adaptation transfer-learning meta-learning few-shot-learning convex-optimization federated-learning machine-learning

median-research-group / libmtl
multi-task-learning,A PyTorch Library for Multi-Task Learning
User: median-research-group
multitask-learning multi-task-learning pytorch python multi-domain-learning deep-learning mtl mmoe ple multiobjective-optimization

megvii-research / petr
multi-task-learning,[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
Organization: megvii-research
multi-camera multi-task-learning object-detection segmentation 3d-position-embedding

microsoft / mt-dnn
multi-task-learning,Multi-Task Deep Neural Networks for Natural Language Understanding
Organization: microsoft
natural-language-processing mt-dnn natural-language-understanding multi-task-learning

mikoto10032 / automaticweightedloss
multi-task-learning,Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
User: mikoto10032
multi-task multi-task-learning weigh-losses auxiliary-tasks pytorch deep-learning

namisan / mt-dnn
multi-task-learning,Multi-Task Deep Neural Networks for Natural Language Understanding
User: namisan
multi-task-learning natural-language-understanding deep-learning microsoft ranking named-entity-recognition bert machine-reading-comprehension nlp pytorch

nvlabs / prismer
multi-task-learning,The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".
Organization: nvlabs
Home Page: https://shikun.io/projects/prismer
image-captioning language-model multi-modal-learning multi-task-learning vision-language-model vision-and-language vqa

openbmb / cpm-live
multi-task-learning,Live Training for Open-source Big Models
Organization: openbmb
deep-learning multi-task-learning natural-language-generation natural-language-understanding nlp parameter-efficient-learning pretrained-language-model natural-language-processing

paddlepaddle / palm
multi-task-learning,a Fast, Flexible, Extensible and Easy-to-use NLP Large-scale Pretraining and Multi-task Learning Framework.
Organization: paddlepaddle
nlp multi-task-learning pretrain-model transformers paddlepaddle baidu

prismformore / multi-task-transformer
multi-task-learning,Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"
User: prismformore
computer-vision deep-learning depth-estimation eccv2022 human-parsing multi-task-learning nyudv2 pascal scene-understanding segmentation

raunak-agarwal / instruction-datasets
multi-task-learning,All available datasets for Instruction Tuning of Large Language Models
User: raunak-agarwal
chatgpt gpt-3 gpt-4 instruction-tuning multi-task-learning alpaca dataset large-language-models sharegpt gpt4all

santi-pdp / pase
multi-task-learning,Problem Agnostic Speech Encoder
User: santi-pdp
deep-learning waveform-analysis pytorch unsupervised-learning multi-task-learning speech-processing self-supervised-learning

sebastianruder / sluice-networks
multi-task-learning,Code for Sluice networks: Learning what to share between loosely related tasks
User: sebastianruder
deep-learning machine-learning multi-task-learning natural-language-processing transfer-learning

sileod / tasksource
multi-task-learning,Datasets collection and standardization preprocessings for NLP extreme multitask learning
User: sileod
nlp benchmark glue scaling crossfit bigbench huggingface multi-task-learning-scaling extreme-mtl extreme-multi-task-learning

simonvandenhende / multi-task-learning-pytorch
multi-task-learning,PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
User: simonvandenhende
multi-task-learning computer-vision pytorch nyud pascal segmentation scene-understanding eccv2020

sinclaircoder / instruction-tuning-papers
multi-task-learning,Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
User: sinclaircoder
cross-task-generalization generalization instruction multi-task-learning natural-language-processing natural-language-generation natural-language-understanding prompt-learning instruction-following large-language-models

smousavi05 / eqtransformer
multi-task-learning,EQTransformer, a python package for earthquake signal detection and phase picking using AI.
User: smousavi05
Home Page: https://rebrand.ly/EQT-documentations
earthquakes detection phase-picking deep-learning neural-network lstm-neural-networks attention-mechanism transformer multi-task-learning global

sunnymarkliu / lic2019-dureader2.0-rank2
multi-task-learning,Rank2 solution (no-BERT) for 2019 Language and Intelligence Challenge - DuReader2.0 Machine Reading Comprehension.
User: sunnymarkliu
Home Page: http://lic2019.ccf.org.cn/read
machine-reading-comprehension paragraph-selection dureader tensorflow multi-task-learning

thuiar / mmsa
multi-task-learning,MMSA is a unified framework for Multimodal Sentiment Analysis.
Organization: thuiar
multimodal-sentiment-analysis multi-task-learning dataset framework

tianheyu927 / pcgrad
multi-task-learning,Code for "Gradient Surgery for Multi-Task Learning"
User: tianheyu927
deep-learning deep-reinforcement-learning multi-task-learning

truongnmt / multi-task-learning
multi-task-learning,Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
User: truongnmt
deep-learning multi-task-learning image-classification tensorflow jupyter-notebook imdb gender-estimation age-estimation smile-detection genki

vinairesearch / phonlp
multi-task-learning,PhoNLP: A BERT-based multi-task learning model for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)
Organization: vinairesearch
vietnamese-nlp pos-tagging ner named-entity-recognition dependency-parsing multi-task-learning language-model

weichengtseng / pytorch-pcgrad
multi-task-learning,Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
User: weichengtseng
deep-reinforcement-learning multi-task-learning deep-learning reinforcement-learning multi-task-reinforcement-learning rl multi-task-rl pytorch-pcgrad pytorch gradient-surgery

weihonglee / awesome-multi-task-learning
multi-task-learning,An up-to-date list of works on Multi-Task Learning
User: weihonglee
multi-task-learning multi-domain-learning computer-vision machine-learning partially-supervised loss-weight deep-learning multi-task cross-domain-learning universal-representation

xlang-ai / unifiedskg
multi-task-learning,[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
Organization: xlang-ai
Home Page: https://arxiv.org/abs/2201.05966
natural-language-processing pytorch huggingface-transformers huggingface-datasets structured-knowledge-grounding semantic-parsing question-answering data-to-text text-generation fact-verification

yhlleo / deepsegmentor
multi-task-learning,A Pytorch implementation of DeepCrack and RoadNet projects.
User: yhlleo
crack-detection road-detection dataset image-segmentation edge-detection centerline-detection multi-task-learning deep-learning deep-neural-networks