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Type: Organization
Type: Organization
PID controller for GAN
This is the repository for our paper "GAN-based Matrix Factorization for Recommender Systems" accepted at ACM/SIGAPP Symposium on Applied Computing (SAC '22).
Graph Learning Convolution Network
Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)
Graph Trend Filtering Networks for Recommendations, SIGIR'2022
Hyperbolic Graph Neural Networks
Heterogeneous Recommendation
Robust Learning with the Hilbert-Schmidt Independence Criterion
Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
IRGAN SIGIR paper experimental code
Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)
The PyTorch implementation of LightGCN
Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".
In this work, we extend the FGSM method proposing multistep adversarial perturbation (MSAP) procedures to study the recommenders’ robustness under powerful methods. Letting fixed the perturbation magnitude, we illustrate that MSAP is much more harmful than FGSM in corrupting the recommendation performance of BPR-MF.
[WWW22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".
Neural Collaborative Filtering
Training PyTorch models with differential privacy
The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.
Learning the optimal transport map via input convex neural neworks
Code to reproduce results in the paper 'Three-Player Wasserstein GAN via Amortised Duality', IJCAI 2019.
This is the official repository for our recent work: PIDNet
Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)
(ICCV 2019) Uncertainty-aware Face Representation and Recognition
PyTorch-IRGAN is a PyTorch version implementation of the item recommendation part of IRGAN.
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"
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.