Pinned Repositories
deeplearning_tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
HoGCL
Higher-order Graph Contrastive Learning for Recommendation
keras-gat
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
LEBERT_paper_code
Code for the ACL2021 paper "Lexicon Enhanced Chinese Sequence Labelling Using BERT Adapter"
paper_HLG
Pytorch implementation of "Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph", ACL 2022
PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
NCL
[WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".
RecBole
A unified, comprehensive and efficient recommendation library
deepML2020's Repositories
deepML2020/deeplearning_tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
deepML2020/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
deepML2020/HoGCL
Higher-order Graph Contrastive Learning for Recommendation
deepML2020/keras-gat
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
deepML2020/LEBERT_paper_code
Code for the ACL2021 paper "Lexicon Enhanced Chinese Sequence Labelling Using BERT Adapter"
deepML2020/paper_HLG
Pytorch implementation of "Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph", ACL 2022