Shypd.aiThe largest open index of AI toolsawesome-mlops is an open-source curated list of MLOps tools, providing a comprehensive collection of resources for automating and managing machine learning workflows. It covers various categories like AutoML, CI/CD, data management, and monitoring.
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awesome-mlops is a comprehensive, open-source curated list of tools specifically designed for Machine Learning Operations (MLOps). This GitHub repository serves as a valuable resource for developers and data scientists looking to streamline their ML workflows. It categorizes tools across numerous MLOps stages, including AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Stores, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The list is inspired by awesome-python, making it a well-structured and easy-to-navigate collection.
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