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Adversarial Learning, Matrix Factorization, Recommendation
A citation recommendation system that allows users to find relevant citations for their paper drafts. The tool is backed by Semantic Scholar's OpenCorpus dataset.
Counterfactual Explainable Recommendation
This is the repository for our paper accepted at ACM/SIGAPP Symposium on Applied Computing (SAC '22) "GAN-based Matrix Factorization for Recommender Systems".
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
This contains an evolving dataset of fake and real images shared in social media.
IRGAN SIGIR paper experimental code
Keras implementations of Generative Adversarial Networks.
Code for ECIR 2022 paper Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
This repository contains the code to the paper "MVAE: Multimodal Variational Autoencoder for Fake News Detection"
Elegant terminal spinner
Collection of generative models in Pytorch version.
随机森林,Random Forest(RF)
This is the official repository for the Recommender Systems course at Politecnico di Milano.
A BERT model for scientific text.
Repository for NAACL 2019 paper on Citation Intent prediction
An open-source framework for self-supervised recommender systems.
Wilcoxon Rank Sum Test
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.