Popular GitHub Repositories for Ad Prevention

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

High-performance automatic differentiation of LLVM and MLIR.

A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

A Deep Graph-based Toolbox for Fraud Detection

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

[CVPR 2023 Workshop] VAND Challenge: 1st Place on Zero-shot AD and 4th Place on Few-shot AD

Repository for the Explainable Deep One-Class Classification paper

World’s first Open Source AI content writing platform that empowers users to create SEO-friendly blog posts, ad copy for social media, website landing pages, and more.

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling

Vanilla torch and timm industrial knn-based anomaly detection for images.

PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.

An MCP tool that connects Google Ads with Claude AI/Cursor and others, allowing you to analyze your advertising data through natural language conversations. This integration gives you access to campaign information, performance metrics, keyword analytics, and ad management—all through simple chat with Claude, Cursor or Windsurf.

Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events

TSB-AD: Towards A Reliable Time-Series Anomaly Detection Benchmark

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper (VAND Workshop - CVPR 2023).

A differentiable physics engine and multibody dynamics library for control and robot learning.