nike-adidas Goto Github PK

-_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.

amazone-review-prediction

autodoubleml

Automated Double Machine Learning

awesome-drug-discovery-knowledge-graphs

A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge graph perspective" (Briefings in Bioinformatics, 2022)

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】

bern2

BERN2: an advanced neural biomedical namedentity recognition and normalization tool

bert-kanji-graph

Using LLMs and graph algorithms to understand the semantics of Japanese Kanji

biont

BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction

bitcoin-nlp-strategy

A project attempting to create a profitable investment strategy for Bitcoin based on CatBoost and NLP with social media data.

capstone-otto-multi-objective-recommender-system

causal-inference-movie-recommender

A deconfounder recommendation system that uses causal inference approach to recommend movies

causal-inference-tutorial

Repository with code and slides for a tutorial on causal inference.

causal-recommendations

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causal_knowledge_gnn

This is the code implementation for the paper Uplift Modeling based on Graph Neural Network Combined with Causal Knowledge

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

cflp

Author: Tong Zhao ([email protected]). ICML 2022. Learning from Counterfactual Links for Link Prediction

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.

chinese-clip-pretrained-on-wukong