Papers on Computational Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
Android application for Internet privacy and security
A simple Python wrapper for the Amazon.com Product Advertising API
advertools - online marketing productivity and analysis tools
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow.
CodeFund is an open source platform that helps fund maintainers, bloggers, and builders through non-tracking ethical ads
Curated list of ad-free alternatives to popular services on the web
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）
Website analytics, JavaScript error tracking + analytics, tag manager, data ingest endpoint creation (tracking pixels). GDPR + CCPA compliant.
A collection of research and application papers of (uncertainty) calibration techniques.
A collection of research and survey papers of fraud detection mainly in advertising.
The safe post-production pipeline - https://getavalon.github.io/2.0
Deprecated. Please go to https://github.com/gitcoinco/code_fund_ads
MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
A React implementation of the Google DFP/GPT api. https://react-dfp.surge.sh
Automates partnerships in the big community of discord.
The ethical ad server - ads for developers without all the tracking
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