Small-scale MLOps library
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Updated
Oct 17, 2026 - Python
Small-scale MLOps library
Practical AI governance patterns for regulated industries — risk assessment templates, model lifecycle controls, EU AI Act alignment
Model lifecycle catalog for AI agents: versions, lineage, stage promotion, and approval gates. Audit-friendly governance for which version is in prod, who approved it, and what came before.
Python 3.11 model-laboratory framework, templates, and synthetic tests
Evidence-first model lifecycle for AI agents. Tamper-evident runs, fail-closed promotion gates. No model promoted on vibes.
Covers essential features like model tracking, versioning, and experiment, providing a foundation for efficient ML project lifecycle management.
Practical MLflow learning repository for Machine Learning Engineering, covering experiment tracking, model logging, model registry, model versioning, hyperparameter tuning, model evaluation, and end-to-end ML lifecycle management for reproducible and production-ready ML workflows.
A machine-readable deprecation feed format for AI models - and the zero-dependency Dependabot-for-models that runs on it
PVA using Gompertz Model for Snake River Spring/Summer Chinook Salmon
This project demonstrates a distributed, dataspace-enabled architecture for optimizing thermoforming machine parameters using machine learning.
Audit and safely validate changing NVIDIA hosted API / NIM integrations: model discovery, compatibility, reasoning-aware parsing, and fallback evidence.
A pod repository for mlflow to manage models lifecycle
Track official AI model catalogs, deprecations, and API changes with evidence-based alerts.
Scan a codebase for LLM model references and flag deprecated/retired model ids against a dated, sourced lifecycle table. Feed-format output in the ModelMinder notice schema.
Optimized ML pipeline for breast cancer prediction using hyperparameter tuning and lifecycle best practices.
Find the deprecated and retired LLM models your code still calls. CLI, pre-commit hook and GitHub Action that fail your build before an OpenAI or Anthropic model is retired.
Top Enterprise Machine Learning (Opensource) Star if you like it!
AIモデル廃止を公式根拠で検出し、影響箇所と検証可能な修正PRを用意するGitHub Action(OpenAI・Anthropic・Gemini・Cohere・xAI)
Fashion-MNIST classifier with TensorBoard logging and Keras model save/load workflow
End-to-end model lifecycle on the BRFSS2015 diabetes health indicators dataset
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