multi-task-learning topic
deep_recommenders
Deep Recommenders
keras-mmoe
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
CPG
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...
Multi-Task-Learning-PyTorch
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
EasyRec
A framework for large scale recommendation algorithms.
UnifiedSKG
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
lic2019-dureader2.0-rank2
Rank2 solution (no-BERT) for 2019 Language and Intelligence Challenge - DuReader2.0 Machine Reading Comprehension.
LibMTL
A PyTorch Library for Multi-Task Learning
hmtl
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP