NIKE-ADIDAS's repositories
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.
AutoDoubleML
Automated Double Machine Learning
Awesome-Graph-Causal-Learning
A list of Graph Causal Learning materials.
Awesome-Uplift-Model
🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】
CausalDL
Project -- Deep Learning for Causal Inference
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
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
Chinese-CLIP
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
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
GraphSAGE-Edge-Attr-on-OGBLDDI
Jing Yang's GraphSAGE + Edge Attr on ogbl-ddi dataset ipynb notebook
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
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
link_prediction_LEAP
Inductive Link Prediction via Topology Augmentation
PCIC2021-Baselines
Some baselines for PCIC2021 Track 2: Causal Inference and Recommendation
ProG
All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
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.
RecHub
A library for GNN-based recommendation system.
RSA-CFN
Residual Self-Attention Cross Fusion Network (RSA-CFN)
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。
Transaction-Fraud-detection-using-GNN-and-Explainability
A project that is implemented to detect transactional fraudulent activities. Graph based features are generated from the dataset. Performance of baseline XGBoost model and Graph Neural Network model generated using these features have been evaluated. The ability of the model to explain the results has also been studied.
UnifiedSSR
The implementation of UnifiedSSR.
upupor
（Java项目）upupor网站开源,使用更加合理的方式处理内容
xpert
Code for XPERT algorithm from Personalized Retrieval over Millions of Items