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Papers on Computational Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking (CTR/CVR prediction), Post Ranking, Relevance, LLM, Reinforcement Learning and so on.
Android application for online privacy and security
An open, scalable, online streaming setup. All-in-one toolkit from ingest to adaptive video playback. Built for developers in need of video tooling.
advertools - online marketing productivity and analysis tools
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
A simple Python wrapper for the Amazon.com Product Advertising API ⛺
DISCONTINUED Amazon Product Adverstising Library based on PHP REST and SOAP (only V1) using the Product Advertising API.
a Swift Package that lets you add beautiful and privacy-friendly Ads to your app. These are Advertisements for Indies, by Indies.
Accelerated subscription for international/China region ad filtering rules（国际/中国地区广告过滤规则的加速订阅）
Curated list of ad-free alternatives to popular services on the web.
CodeFund is an open source platform that helps fund maintainers, bloggers, and builders through non-tracking ethical ads
A collection of research and application papers of (uncertainty) calibration techniques.
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
Website analytics, JavaScript error tracking + analytics, tag manager, data ingest endpoint creation (tracking pixels). GDPR + CCPA compliant.
The ethical ad server - ads for developers without all the tracking
A collection of research and survey papers of fraud detection mainly in advertising.
The safe post-production pipeline - https://getavalon.github.io/2.0
AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online advertising auctions.
A DAG based parallel task schedule framework for galois advertising｜基于DAG(Directed Acyclic Graph)的并行任务调度系统，自动推导节点依赖生成DAG。