Algorithms for outlier, adversarial and drift detection
Open-source Infrastructure As Code that starts from what already runs. formae discovers your estate, versions drift and hands back current code. A Terraform and Pulumi alternative built on Pkl, with an MCP server for AI agents.
Monitor the stability of a Pandas or Spark dataframe ⚙︎
Drift Detection for your PyTorch Models
Frouros: an open-source Python library for drift detection in machine learning systems.
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.
NXTG-Forge orchestrator: an MCP server for Claude Code with task orchestration, file locking, knowledge capture and drift detection. Rust. Alpha (source-available, FSL-1.1-ALv2).
Persistent session memory for AI coding agents — local-first, with on-device inference, associative recall, and drift detection. Works with Claude Code, Cursor, and Codex.
CapyMOA does efficient machine learning for data streams in Python. CapyMOA is a toolbox of methods and evaluators for: classification, regression, clustering, anomaly detection, semi-supervised learning, online continual learning, and drift detection for data streams.
The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.
User documentation for KServe.
Identify kubernetes resources which are not managed by GitOps
AI Stupid Level — independent, continuous LLM benchmarks (coding, reasoning, tool use), drift detection and a benchmark-driven Smart Router. Web app source; methodology public, test tasks private.
Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
Structured plan/execute/verify coding workflow for Claude Code: atomic commits, MCP-backed state, ~92% lower per-turn token overhead, native convention + drift-detection safeguards, and an ASD-STE100 (Simplified Technical English) anti-slop docs gate. A Claude Code-native evolution of GSD and VibeDrift.
A fast, comprehensive tool for mapping and inventorying AWS resources across 150+ services and all regions.
Free, self-hosted M365 configuration drift monitoring. Baseline your tenant, detect changes at the property level, and restore in one click. For MSSPs and admins.
A toolkit for evaluating and monitoring AI models in clinical settings
To associate your repository with the drift-detection topic, visit your repo's landing page and select "manage topics."