Pinned Repositories
-_graphsage
使用graphsage 进行连边预测的实验
-CTR-
08-Double-Machine-Learning
2022WSDM-Cup-Cross-market-Recommendation-Rank2
AgathaSemanticVisualizer
Visualize hypotheses generated with AGATHA system to find new undiscovered knowledge.
AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
AIinterview
算法工程师面试题整理
ALSTP
Implementation for our TOIS paper --- Attentive Long Short-Term Preference Modeling for Personalized Product Search.
Amazon-Multilingual-Product-Recommender-Challenge-NLP
Submission for Amazon Multilingual Product Recommender System KDD Cup'23 with help of Content-Based-Filteration and Natural Language Processing.
GNN-Recommendation
毕业设计：基于图神经网络的异构图表示学习和推荐算法研究
NIKE-ADIDAS's Repositories
NIKE-ADIDAS/Amazon-Multilingual-Product-Recommender-Challenge-NLP
Submission for Amazon Multilingual Product Recommender System KDD Cup'23 with help of Content-Based-Filteration and Natural Language Processing.
NIKE-ADIDAS/AutoDoubleML
Automated Double Machine Learning
NIKE-ADIDAS/Awesome-Graph-Causal-Learning
A list of Graph Causal Learning materials.
NIKE-ADIDAS/CausalDL
Project -- Deep Learning for Causal Inference
NIKE-ADIDAS/CausalInferenceIntro
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
NIKE-ADIDAS/ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
NIKE-ADIDAS/Chinese-CLIP
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
NIKE-ADIDAS/Competition_notebook
数据竞赛笔记fork
NIKE-ADIDAS/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
NIKE-ADIDAS/DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
NIKE-ADIDAS/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal in
NIKE-ADIDAS/GraphSAGE-Edge-Attr-on-OGBLDDI
Jing Yang's GraphSAGE + Edge Attr on ogbl-ddi dataset ipynb notebook
NIKE-ADIDAS/Inductive-Graph-Representation-Learning-for-Fraud-Detection
This repository contains the code used in the experimental setup of the paper 'Inductive Graph Representation Learning for Fraud Detection
NIKE-ADIDAS/JavaNotes
🧱 「Java学习」一份涵盖大部分Java程序员所需要掌握的核心知识。JDK 源码分析 & Java 新特性 & Java 并发编程 & Java 虚拟机 & SpringBoot 2.x 系列
NIKE-ADIDAS/link_prediction_LEAP
Inductive Link Prediction via Topology Augmentation
NIKE-ADIDAS/mbkg
NIKE-ADIDAS/MHAGP
NIKE-ADIDAS/PCIC2021-Baselines
Some baselines for PCIC2021 Track 2: Causal Inference and Recommendation
NIKE-ADIDAS/ProG
All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.
NIKE-ADIDAS/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
NIKE-ADIDAS/rec_pangu
rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.
NIKE-ADIDAS/RSA-CFN
Residual Self-Attention Cross Fusion Network (RSA-CFN)
NIKE-ADIDAS/rsys
科大讯飞短视频推荐比赛
NIKE-ADIDAS/semantic-search-with-amazon-opensearch
NIKE-ADIDAS/Signed-Graph-Contrastive-Learning
NIKE-ADIDAS/text2vec
text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。
NIKE-ADIDAS/UnifiedSSR
The implementation of UnifiedSSR.
NIKE-ADIDAS/upupor
（Java项目）upupor网站开源,使用更加合理的方式处理内容
NIKE-ADIDAS/videoAndAdvertiserRecTips
短视频and广告推荐优化经验总结
NIKE-ADIDAS/xpert
Code for XPERT algorithm from Personalized Retrieval over Millions of Items