Awesome Open Source

Programming Languages

Search results for python multi task learning

multi-task-learning x

112 search results found

Mt Dnn ⭐ 2,154

Multi-Task Deep Neural Networks for Natural Language Understanding

Libmtl ⭐ 1,625

A PyTorch Library for Multi-Task Learning

Easyrec ⭐ 1,374

A framework for large scale recommendation algorithms.

Prismer ⭐ 1,245

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

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

Keras Mmoe ⭐ 529

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

MMSA is a unified framework for Multimodal Sentiment Analysis.

Mftcoder ⭐ 494

High Accuracy and efficiency multi-task fine-tuning framework for Code LLMs

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

Instructcv ⭐ 464

Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"

Cpm Live ⭐ 449

Live Training for Open-source Big Models

Multi Task Learning Pytorch ⭐ 377

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

Deep_recommenders ⭐ 282

Deep Recommenders

Problem Agnostic Speech Encoder

Eqtransformer ⭐ 260

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

Deepsegmentor ⭐ 183

A Pytorch implementation of DeepCrack and RoadNet projects.

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

Repmode ⭐ 148

[CVPR 2023 (Highlight)] Offical implementation of the paper "RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction".

Rec_pangu ⭐ 138

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.

Nash Mtl ⭐ 132

Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]

Torchmtl ⭐ 131

A lightweight module for Multi-Task Learning in pytorch.

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

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

Sluice Networks ⭐ 119

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

Achelous ⭐ 116

Achelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave Radar

Tasksource ⭐ 103

Datasets collection and standardization preprocessings for NLP extreme multitask learning

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

PhoNLP: A BERT-based multi-task learning model for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)

Lic2019 Dureader2.0 Rank2 ⭐ 93

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

Emmental ⭐ 93

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

Auto Lambda ⭐ 83

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

Cnniqaplusplus ⭐ 80

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

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

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

Directmhp ⭐ 74

Codes for my paper "DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles"

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

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

Pytorch Pcgrad ⭐ 53

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

Code for "Gradient Surgery for Multi-Task Learning"

Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)

PCC Net: Perspective Crowd Counting via Spatial Convolutional Network

Fine Grained Or Not ⭐ 49

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

Focal Iclr ⭐ 46

Code for FOCAL Paper Published at ICLR 2021

EMNLP 2021 - A Partition Filter Network for Joint Entity and Relation Extraction

Exploring Relational Context for Multi-Task Dense Prediction [ICCV 2021]

Densetorch ⭐ 42

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

Multi Task Image Classification ⭐ 36

Multi-task learning for image classification implemented in PyTorch.

Tl Deeponet ⭐ 36

Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.

Agegenderlmtcnn ⭐ 31

Jia-Hong Lee, Yi-Ming Chan, Ting-Yen Chen, and Chu-Song Chen, "Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications," IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2018

Mdl Stance Robustness ⭐ 31

Multi-dataset stance detection and robustness experiments

The code for paper 'Towards Learning a Generalist Model for Embodied Navigation'

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

Thyroid Us ⭐ 28

Evaluation of Thyroid Nodules Seen on Ultrasound Using Multi-task Deep Convolutional Neural Network (CNN)

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

The official repository (in PyTorch) for the ECCV 2020 paper "Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference".

Mnist Multitask ⭐ 26

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

使用分层注意力机制 HAN + 多任务学习解决 AI Challenger 细粒度用户评论情感分析。https://challenger.ai/competition/fsauor2018

Code for the paper "A Multi-lingual Multi-task Architecture for Low-resource Sequence Labeling" (ACL2018)

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

Code release for "MGNet: Monocular Geometric Scene Understanding for Autonomous Driving"

Traffic Speed Prediction ⭐ 23

Using to predict the highway traffic speed

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

Survival Deepmts ⭐ 20

DeepMTS: Deep Multi-Task Survival model for joint survival prediction and tumor segmentation.

Atria_segmentation_2018 ⭐ 20

[STACOM 2018] Multi-task Learning for Left Atrial Segmentation on GE-MRI. This repository contains training and testing code for atrial segmentation challenge 2018.

Steven C. Y. Hung, Jia-Hong Lee, Timmy S. T. Wan, Chein-Hung Chen, Yi-Ming Chan and Chu-Song Chen. "Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning" 2019 ACM on International Conference on Multimedia Retrieval

Tensorflow Asp Mtl ⭐ 18

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

Replay Based Recurrent Rl ⭐ 18

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

Demo Net ⭐ 18

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

Multi Task Cnn Eeg Emotion ⭐ 17

Code for the paper "Multi-Task CNN Model for Emotion Recognition from EEG Brain Maps". DEAP dataset. Python/Keras/Tensorflow 2 Impementation.

End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)

Temporal Depth Segmentation ⭐ 17

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

Mtrajrec ⭐ 16

Map-Constrained Trajectory Recovery (KDD'21)

Detection Attributes Fields ⭐ 16

PyTorch implementation of "Detecting 32 Pedestrian Attributes for Autonomous Vehicles"

Efficient Vrnet ⭐ 16

Automated Search for Resource-Efficient Branched Multi-Task Networks [BMVC 2020]

Eeg Self Supervision ⭐ 15

Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!

Two Stage Tradaboost.r2 ⭐ 14

Code for the ACL2022 main conference paper "A Variational Hierarchical Model for Neural Cross-Lingual Summarization"

Eposearch ⭐ 14

Exact Pareto Optimal solutions for preference based Multi-Objective Optimization

Cerberus ⭐ 13

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

Har Joint Model ⭐ 13

AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors

Neuralmerger ⭐ 13

Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen, "Unifying and Merging Well-trained Deep Neural Networks for Inference Stage," International Joint Conference on Artificial Intelligence, IJCAI-ECAI-2018

[IEEE Transactions on Power Systems] Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map

Omiembed ⭐ 12

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

Pytorch Implementation of Task Adaptive Parameter Sharing for Multi-Task Learning (CVPR 2022)

Dual_view_review_sum ⭐ 10

Code for the SIGIR 2020 paper "A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss"

Cerberus ⭐ 10

Simple and Effective All-In-One Automotive Perception Model with Multi Task Learning

Merging Mobilenets For Multitask ⭐ 10

Cheng-En Wu, Yi-Ming Chan and Chu-Song Chen "On Merging MobileNets for Efficient Multitask Inference", International Symposium on High-Performance Computer Architecture(HPCA) on Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications(EMC2), 2019

Scpretrain ⭐ 10

scPretrain: Multi-task self-supervised learning for cell type classification

Traffic Flow Prediction ⭐ 10

This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.

Travel Time Prediction ⭐ 10

When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time

A TensorFlow Framework for Multi-Task Learning and Text Classification

Mtl_pan_seg ⭐ 10

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

Facialmmt ⭐ 9

Code for paper "A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations"

Reproduction package of the paper "DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning" in Automated Software Engineering (ASE) 2021

Jco_learning Pytorch ⭐ 9

Medical Image Analysis (MEDIA) paper: Joint Categorical and Ordinal Learning for Cancer Grading in Pathology Images

Multi Task Cs Lm ⭐ 7

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

Multi Head Attention Labeller ⭐ 7

Joint text classification on multiple levels with multiple labels, using a multi-head attention mechanism to wire two prediction tasks together.

This is an official implementation of 'A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images'

Adamerging ⭐ 6

AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.

Related Searches

Python Dataset (14,792)

Python Machine Learning (14,099)

Python Tensorflow (13,736)

Python Deep Learning (13,092)

Python Jupyter Notebook (12,976)

Python Network (11,495)

Python Algorithms (10,033)

Python Testing (9,479)

Python Natural Language Processing (9,064)

Python Pytorch (7,877)

1-100 of 112 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.