Topic: multi-task-learning Goto Github
Some thing interesting about multi-task-learning
Some thing interesting about multi-task-learning
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
multi-task-learning,Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]
User: avivnavon
multi-task-learning,A lightweight module for Multi-Task Learning in pytorch.
User: chrisby
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
multi-task-learning,High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs. This work has been accepted by KDD 2024.
Organization: codefuse-ai
multi-task-learning,EMNLP 2021 - A Partition Filter Network for Joint Entity and Relation Extraction
User: coopercoppers
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
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
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-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/
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
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
multi-task-learning,A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)
User: hwwang55
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
multi-task-learning,BERT for Multitask Learning
User: jayyip
Home Page: https://jayyip.github.io/m3tl/
multi-task-learning,TensorFlow Script
User: lambdaji
multi-task-learning,Deep Recommenders
Organization: longmaoteamtf
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,The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
User: lorenmt
Home Page: https://shikun.io/projects/meta-auxiliary-learning
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,[CVPR2020] Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation, CVPR2020 (oral)
User: luogen1996
Home Page: https://arxiv.org/abs/2003.08813
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
multi-task-learning,A PyTorch Library for Multi-Task Learning
User: median-research-group
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-task-learning,Multi-Task Deep Neural Networks for Natural Language Understanding
Organization: microsoft
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-learning,Awesome Multitask Learning Resources
Organization: mlsys-mbs0221
multi-task-learning,Multi-Task Deep Neural Networks for Natural Language Understanding
User: namisan
multi-task-learning,The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".
Organization: nvlabs
Home Page: https://shikun.io/projects/prismer
multi-task-learning,Live Training for Open-source Big Models
Organization: openbmb
multi-task-learning,a Fast, Flexible, Extensible and Easy-to-use NLP Large-scale Pretraining and Multi-task Learning Framework.
Organization: paddlepaddle
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
multi-task-learning,All available datasets for Instruction Tuning of Large Language Models
User: raunak-agarwal
multi-task-learning,Problem Agnostic Speech Encoder
User: santi-pdp
multi-task-learning,Code for Sluice networks: Learning what to share between loosely related tasks
User: sebastianruder
multi-task-learning,Datasets collection and preprocessings framework for NLP extreme multitask learning
User: sileod
multi-task-learning,PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
User: simonvandenhende
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
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
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
multi-task-learning,MMSA is a unified framework for Multimodal Sentiment Analysis.
Organization: thuiar
multi-task-learning,2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
Organization: thuml
Home Page: https://github.com/thuml/awesome-multi-task-learning
multi-task-learning,Code for "Gradient Surgery for Multi-Task Learning"
User: tianheyu927
multi-task-learning,Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
User: truongnmt
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
multi-task-learning,Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
User: weichengtseng
multi-task-learning,An up-to-date list of works on Multi-Task Learning
User: weihonglee
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
multi-task-learning,A Pytorch implementation of DeepCrack and RoadNet projects.
User: yhlleo
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