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A Beautiful Open Source RSS & Podcast App Powered by Getstream.io
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
Towards Knowledge-Based Personalized Product Description Generation in E-commerce @ KDD 2019
Leanplum's integrated solution delivers meaningful engagement across messaging and the in-app experience.
ElasticCTR,即飞桨弹性计算推荐系统,是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务,帮助用户在Kubernetes环境中一键完成推荐系统部署,具备高性能、工业级部署、端到端体验的特点,并且作为开源套件,满足二次深度开发的需求。
Code for the paper 'Personalization in Goal-oriented Dialog' (NeurIPS 2017 Conversational AI Workshop)
Leanplum's integrated solution delivers meaningful engagement across messaging and the in-app experience.
🚀 A distraction-free minimal homescreen for Android.
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…
Arc2Face: A Foundation Model of Human Faces
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
RecTools - library to build Recommendation Systems easier and faster than ever before
A general purpose recommender metrics library for fair evaluation.
Magento extension for Nosto
Federated Learning Utilities and Tools for Experimentation
Official implementation of the NeurIPS 2023 paper "Photoswap: Personalized Subject Swapping in Images"
A collection of resources on controllable generation with text-to-image diffusion models.
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