This repository provides a research-grade, unsupervised anomaly detection framework for microservice logs, combining multi-modal embeddings, graph attention networks, hybrid ensembles with GMM thresholding, streaming simulation, and explainability (SHAP + gradients).
Netdata is an open-source, real-time infrastructure monitoring platform. Monitor, detect, and act across your entire infrastructure.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
db). js só-leitura em /web — busca candidato e mostra a ficha completa com a fonte de cada campo.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes forecasting, time series classification, clustering, anomaly/changepoint detection, and other tasks.
Tired of anti-detect browsers? So am I. That is why I am publishing some of the techniques that catch them.
A control plane for the layer where cloud-native data pipelines actually break: not the application logic, but the orchestration around it. Four mechanisms, each useful alone, built to be operated together.