multi-task-learning

A PyTorch Library for Multi-Task Learning

A framework for large scale recommendation algorithms.

Multi-Task Deep Neural Networks for Natural Language Understanding

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

MMSA is a unified framework for Multimodal Sentiment Analysis.

A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.

Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)

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

TensorFlow Script

Live Training for Open-source Big Models