PETR

A PyTorch Library for Multi-Task Learning

Multi-Task Deep Neural Networks for Natural Language Understanding

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

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

MMSA is a unified framework for Multimodal Sentiment Analysis.

Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).

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

Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline

TensorFlow Script