[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
EdgeLite: 开源边缘AI网关，13种工业协议+ONNX推理引擎，传感器/视觉AI双确认。Python，10分钟Docker部署。
GRASPED: A GRU-AE Network based Multi-perspective Business Process Anomaly Detection Model
Simple machine learning framework for Timeseries application to identify anomaly in dataset using Machine learning and Deep neural network
A real-time continuous authentication system using face recognition (FaceNet), keystroke dynamics (LSTM Autoencoder), and mouse dynamics (GRU Autoencoder) with a Chrome extension, FastAPI backend, and React admin portal.
Production-grade data quality data-quality python flask anomaly-detection machine-learning data-engineering
Amazon product analytics: custom Pressure × Traction scoring, quadrant segmentation, sentiment analysis (VADER + TextBlob), anomaly detection, and interactive Plotly dashboard. Kaggle & Colab ready.
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