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
Pre-configured Media Kit Page using Gutenberg Block Patterns.
A novel approach to digital signage based user targeted advertising
Batch-query Open Sincera publisher data to audit domains, analyze supply paths, and improve transparency in programmatic advertising.
Evaluation Dataset for "Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia" (TextGraphs-15 Workshop@NAACL 2021)
A supervised machine learning model for classifying FEC expenditure data
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
Wall Mount Capacitive Touch Screen Poe Power WiFi/RJ45 Port Wall Mount WiFi Industrial LCD Tablet
Interscope Ads – Global data-driven performance marketing platform
Example of Proportion Z-Test for A/B Testing in Python
🚫 Detect ad fraud easily with AdTruth, the open-source solution designed to help small businesses grow through genuine traffic.
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