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Type: Organization
Type: Organization
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
PyTorch implementation of Adversarially Learned Inference (BiGAN).
Anomaly detection on X-Ray MURA dataset using GAN.
autodp: A flexible and easy-to-use package for differential privacy
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression
Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.
The author's officially unofficial PyTorch BigGAN implementation.
Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)
[ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck
This repo is for our paper "ControlVAE: Controllable Variational Autoencoder" published at ICML 2020. It can be used for text generation, image generation
[ICLR 2022] COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks
TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)
Conditional GAN for generating synthetic tabular data.
pytorch implementation of Domain-Adversarial Training of Neural Networks
[CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long*, Luka Rimanic, Ce Zhang, Bo Li
This is our implementation for the paper: Pan Li and Alexander Tuzhilin. "DDTCDR: Deep Dual Transfer Cross Domain Recommendation." Proceedings of the 13th International Conference on Web Search and Data Mining. 2020
This repo implements several algorithms for learning with differential privacy.
Training code for Dual Inverse Network Optimisation
[SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget
Source code of paper "Differentially Private Generative Adversarial Network"
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation
Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering (ACL 2021)
FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback
A collection of Google research projects related to Federated Learning and Federated Analytics.
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
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.