#Multi-task-learning
Showing 22 of 22 repositories tagged #multi-task-learning, ranked by stars
A PyTorch Library for Multi-Task Learning
Multi-Task Deep Neural Networks for Natural Language Understanding
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
TensorFlow Script
Awesome Multitask Learning Resources
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
Live Training for Open-source Big Models
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
An easy-to-use framework for large scale recommendation algorithms.
Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).
An up-to-date list of works on 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"
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Datasets for Instruction Tuning of Large Language Models
Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
Multi-task learning for image classification implemented in PyTorch.
ROS 2 integration of Meta’s DINOv3 backbone with lightweight heads for vision tasks.
[ACL 19] Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
Multi Task Learning Implementation with Homoscedastic Uncertainty in Tensorflow
🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.