A Beautiful Open Source RSS & Podcast App Powered by Getstream.io
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Oct 11, 2021 - JavaScript
A Beautiful Open Source RSS & Podcast App Powered by Getstream.io
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
A collection of resources on controllable generation with text-to-image diffusion models.
[ECCV 2024 Oral🔥] Arc2Face: A Foundation Model for ID-Consistent Human Faces
Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, IP-Adapter.
Recolorize Win32 controls in-memory with accent color without patching theme
Official implementation of the NeurIPS 2023 paper "Photoswap: Personalized Subject Swapping in Images"
RecTools - library to build Recommendation Systems easier and faster than ever before
A general purpose recommender metrics library for fair evaluation.
Official Implementation for "ConceptLab: Creative Generation using Diffusion Prior Constraints"
Towards Knowledge-Based Personalized Product Description Generation in E-commerce @ KDD 2019
Official implementation of the ECCV paper "SwapAnything: Enabling Arbitrary Object Swapping in Personalized Visual Editing"
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV 2023)
Federated Learning Utilities and Tools for Experimentation
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。
Official Implementation for "A Neural Space-Time Representation for Text-to-Image Personalization" (SIGGRAPH Asia 2023)
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-…
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