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gmsft's Projects

autoencoder icon autoencoder

个人练习,自编码器及其变形(理论+实践)

beedoc icon beedoc

An open source project for beego documentation.

cat-art icon cat-art

One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)

cdrib icon cdrib

[ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck

chatgpt-next-web icon chatgpt-next-web

A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。

conet icon conet

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation

conv_arithmetic icon conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

ga-dtcdr icon ga-dtcdr

This is the model in "A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation" (IJCAI2020). GA-DTCDR is an optimized model for DTCDR ("DTCDR: A Framework for Dual-Target Cross-Domain Recommendation" in CIKM2019).

llmrec icon llmrec

[WSDM'2024 Oral Presentation] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

mgo icon mgo

The MongoDB driver for Go. See http://labix.org/mgo for details.

pygat icon pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

recbole-cdr icon recbole-cdr

This is a library built upon RecBole for cross-domain recommendation algorithms

recsys2019_deeplearning_evaluation icon recsys2019_deeplearning_evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

run icon run

润学全球官方指定GITHUB,整理润学宗旨、纲领、理论和各类润之实例;解决为什么润,润去哪里,怎么润三大问题; 并成为新**人的核心宗教,核心信念。

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