ywjawmw Goto Github PK

ai4tcm-platform

awesome-rspapers

Recommender System Papers

cemrclass

Traditional Chinese Medicine Clinical Records Classification. In BIBM 2016

chatwk

Usings LLM chat with knowledges

clepr

This is our Pytorch implementation for CLEPR model

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

factool

FacTool: Factuality Detection in Generative AI

gaokao-bench

GAOKAO-bench is an evaluation framework that utilizes GAOKAO questions as a dataset to evaluate large language models.

github-readme-stats

:zap: Dynamically generated stats for your github readmes

gnn-recommender-systems

An index of recommendation algorithms that are based on Graph Neural Networks.

gran

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

huatuogpt

HuatuoGPT, Towards Taming Language Models To Be a Doctor. (An Open Medical GPT)

kg-demo-for-movie

从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

leedeeprl-notes

lessr

Handling Information Loss of Graph Neural Networks for Session-based Recommendation

lightgcn-pytorch

The PyTorch implementation of LightGCN

llm4rs

the official implementation of the paper “Uncovering ChatGPT's Capabilities in Recommender Systems”

pro_test_01

project_deeplearning.ai

暑期课程实验代码维护

ptm

A Topic Modeling Approach for Traditional Chinese Medicine Prescriptions. TKDE 2018

pyrecommender

基于知识图谱的推荐系统

qw_loss

A Quasi-Wasserstein Loss for Learning Graph Neural Networks (QW loss)

recbole

A unified, comprehensive and efficient recommendation library

recommendationsys

upload for the first time

recsysdatasets

This is a repository of public data sources for Recommender Systems (RS).

rot-pooling

Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)

rspapers

A Curated List of Must-read Papers on Recommender System.

semantic_uncertainty

语义不确定性的评估

sgl