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This repository includes dietary data from the NHANES 2015-2016 survey in a workable format for researchers. Additional Samples from hypertension and prediabetic patients are also provided.
A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
Trying to computationally embed ingredients of food with their chemical compouns
KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks
Food pairing using Machine Learning
Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completition using Cascaded Set Transformer (Mogan Gim et al., 2022)
Code & data for IJCAI'22 paper "RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation".
Code & data for the KDD 2020 paper "Reciptor: An Effective Pretrained Model for Recipe Representation Learning"
Implementation of ReSimNet for drug response similarity prediction
Analyze the unstructured data with Towhee, such as reverse image search, reverse video search, audio classification, question and answer systems, molecular search, etc.
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.