Pinned Repositories
buffalo
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
daiwk.github.io
main page
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
dlrm
An implementation of a deep learning recommendation model (DLRM)
DSIN
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
encoder2predict
利用Encoder对二分类任务的序列数据进行概率预测
Feature_Engineering_for_Yelp_Dataset
Extract user profile, item profile, user text and item text features on Yelp dataset.
GNNs-for-NLP
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
oac-explore
Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
Bingjie-Du's Repositories
Bingjie-Du/Feature_Engineering_for_Yelp_Dataset
Extract user profile, item profile, user text and item text features on Yelp dataset.
Bingjie-Du/oac-explore
Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
Bingjie-Du/buffalo
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
Bingjie-Du/CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Bingjie-Du/daiwk.github.io
main page
Bingjie-Du/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
Bingjie-Du/dlrm
An implementation of a deep learning recommendation model (DLRM)
Bingjie-Du/DSIN
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
Bingjie-Du/encoder2predict
利用Encoder对二分类任务的序列数据进行概率预测
Bingjie-Du/GNNs-for-NLP
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
Bingjie-Du/introRL
Intro to Reinforcement Learning (强化学习纲要）
Bingjie-Du/KGCN
A tensorflow implementation of Knowledge Graph Convolutional Networks
Bingjie-Du/LeetCode-MyCodesCollection
我的LeetCode做题代码分方向汇总集合 :fire:
Bingjie-Du/machine-learning-notes
A repository to save my machine learning notes.
Bingjie-Du/MKM-SR
Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation
Bingjie-Du/models
Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）
Bingjie-Du/NeuRec
Next RecSys Library
Bingjie-Du/Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
Bingjie-Du/recommenders
Best Practices on Recommendation Systems
Bingjie-Du/RecQ
RecQ: A Python Framework for Recommender Systems (TensorFlow Based)
Bingjie-Du/SimpleConvNet
一个通过python基本库实现的简单的卷积神经网络
Bingjie-Du/UGATIT
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
Bingjie-Du/Word2Vec-with-side-information
基于side information版的 word2vec 《Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba》