Open-source ad fraud detection for small businesses using machine learning. Detect click fraud and bot traffic from Google Ads, Facebook Ads, and other platforms. Completely free.
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Updated
Dec 17, 2025 - HTML
Open-source ad fraud detection for small businesses using machine learning. Detect click fraud and bot traffic from Google Ads, Facebook Ads, and other platforms. Completely free.
Open Source Ad Serving Platform with ML-Powered CTR Prediction | Self-hosted alternative to Google Ad Manager | Python, FastAPI, PyTorch
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A VAST XML parser that extracts Creative and MediaFile element metadata.
The repository includes various analytics techniques and models that can be used to identify which campaigns are generating the most traffic, leads, and conversions. Additionally, the repository also provides various data visualization tools that can be used to create reports and dashboards to monitor the performance of digital advertising campaign
Unsupervised domain adaptation with non-stochastic missing data
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Programmatic campaign QA checklists, DSP/SSP ecosystem maps, deal ID workflow guides, and trafficking templates for adtech practitioners.
Machine learning system for predicting digital advertising campaign performance using regression models and a Flask API.
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Guide for advertisers running campaigns on the Mandeta programmatic advertising platform.
AI agent knowledge base + analytics for launching Meta (Facebook/Instagram) ads like a seasoned performance marketer
Description: Programmatic advertising platform for Albanian-speaking markets.
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