hyp1231 Goto Github PK
Name: Yupeng Hou
Type: User
Company: UC San Diego
Bio: PhD student @UCSD @McAuley-Lab; M.E. & B.E. @RUCAIBox; Research on RecSys & LLMs.
Twitter: yupenghou97
Blog: https://yupenghou.com
Name: Yupeng Hou
Type: User
Company: UC San Diego
Bio: PhD student @UCSD @McAuley-Lab; M.E. & B.E. @RUCAIBox; Research on RecSys & LLMs.
Twitter: yupenghou97
Blog: https://yupenghou.com
:alarm_clock: AI conference deadline countdowns
Scripts for processing the Amazon Reviews 2023 dataset; implementations and checkpoints of BLaIR: "Bridging Language and Items for Retrieval and Recommendation".
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
Large Languange Model for Recommender System Papers
Paper List for Recommend-system PreTrained Models
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
This is the official source code of "BiCAT: Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer" based on TensorFlow.
⏰ CCF recommendation conference Deadline Countdowns / Please star this project, thanks~
Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"
[SIGIR22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space".
A simulation of Unix's file management system.
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152, ICML'24).
[SDM22] PyTorch implementation for "Neural Graph Matching for Pre-training Graph Neural Networks".
Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.
Crawl & visualize ICLR papers and reviews.
A tiny server-client evaluator for IR homework (e.g. Search Engine) in Python.
Implementation of "Large Language Models are Zero-Shot Rankers for Recommender Systems"
The official GitHub page for the survey paper "A Survey of Large Language Models".
Strategies for Pre-training Graph Neural Networks
NAACL'2021: A Frustratingly Easy Approach for Entity and Relation Extraction
Graph Neural Network Library for PyTorch
A unified, comprehensive and efficient recommendation library
Efficient and extensible GNNs enhanced recommender library based on RecBole.
A simple demo for web server of search engine using Flask.
An open-source framework for self-supervised recommender systems.
[DASFAA22] Official PyTorch implementation for "Leveraging Search History for Improving Person-Job Fit".
A collection of classified and organized top conference paper list.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.