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Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
This project is the implementation of the research paper titled "Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT Applications"
Repository for course projects of EI338 Computer System. I appreciate it if you do not BAIPIAO.
Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
Final project repo for UCLA CS 267A
A unified, comprehensive and efficient recommendation library
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
modern search engine
This is the code for StockCL: Selective Contrastive Learning for Stock Trend Forecasting via Learnable Concepts, DASFAA 2024.
A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"
[更正仓库]Code for paper [TOIS]"Temporal Relational Ranking for Stock Prediction"
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.