Pinned Repositories
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Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Algorithmic-Trading-Tutorial
app
CARP
The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu, https://dl.acm.org/citation.cfm?doid=3331184.3331216
Contract-DigitalPoint
基于Solidity语言的，提供多个参与方之间流转数字积分的智能合约示例
cornac
A Comparative Framework for Multimodal Recommender Systems
DeepRec
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
DER
Code for "Dynamic Explainable Recommendation based on Neural Attentive Models"
recommenders
Best Practices on Recommendation Systems
JuneQiong's Repositories
JuneQiong/recommenders
Best Practices on Recommendation Systems
JuneQiong/Ai-Learn
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
JuneQiong/CARP
The implementation of “A Capsule Network for Recommendation and Explaining What You Like and Dislike”, Chenliang Li, Cong Quan, Li Peng, Yunwei Qi, Yuming Deng, Libing Wu, https://dl.acm.org/citation.cfm?doid=3331184.3331216
JuneQiong/cornac
A Comparative Framework for Multimodal Recommender Systems
JuneQiong/DeepRec
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
JuneQiong/FIA-KDD-19
Source code for our paper "Incorporating Interpretability into Latent Factor Models via Fast Influence Analysis" in KDD'19
JuneQiong/fork_knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
JuneQiong/GREENer
JuneQiong/KG-Reasoning-Paper-list
Some papers of top references in recent years
JuneQiong/KnowledgeGraphEmbedding
JuneQiong/mmaction2
JuneQiong/mrg
Code of the paper "Multimodal Review Generation for Recommender Systems", WWW'19
JuneQiong/MTER
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
JuneQiong/NETE
CIKM'20, Generate Neural Template Explanations for Recommendation
JuneQiong/NRT-theano
Code for our SIGIR'2017 paper "Neural Rating Regression with Abstractive Tips Generation for Recommendation"
JuneQiong/PESI
JuneQiong/PETER
ACL'21, Personalized Transformer for Explainable Recommendation
JuneQiong/PGPR
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
JuneQiong/Quantitative-Trading
JuneQiong/Quantitative-Trading-back
JuneQiong/recsys_justification
JuneQiong/Review-Generation
Explainable recommendation with review generation based on MRG.
JuneQiong/RippleNet
A tensorflow implementation of RippleNet
JuneQiong/RSPapers
A Curated List of Must-read Papers on Recommender System.
JuneQiong/SAER
Explanation as a Defense of Recommendation (WSDM '21)
JuneQiong/Sentires
Sentires: A Toolkit for Phrase-level Sentiment Analysis
JuneQiong/SR-GNN
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
JuneQiong/stanza-resources
JuneQiong/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
JuneQiong/yuanweishengjiyuan-code-keshe
课设-源味生机园-代码