ModelScope
Infrastructure & DevOps
The Open-Source Model-as-a-Service (MaaS) ecosystem for sovereign and localized AI deployment.
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These tools are tagged for mlops and sorted to help you build a faster shortlist.
Infrastructure & DevOps
The Open-Source Model-as-a-Service (MaaS) ecosystem for sovereign and localized AI deployment.
Data
Accelerating health outcomes through multimodal medical-grade generative AI and interoperable cloud ecosystems.
Learning
The unified platform to build, train, and deploy AI models on the cloud without managing infrastructure.
Data
The platform for building AI from enterprise data using SQL and virtual AI Tables.
Learning
Accelerate machine learning inference and training across any hardware, framework, and platform.
Learning
An open-source hyperparameter optimization framework to automate machine learning model tuning with superior efficiency.
Development
The open-source standard for consistent ML feature serving and storage across training and production.
Learning
The declarative machine learning framework for building, fine-tuning, and deploying state-of-the-art AI models without coding.
Work
Accelerate the ML lifecycle with automated hyperparameter tuning and neural architecture search.
Learning
Enterprise-grade automated data labeling and dataset curation for production-ready AI models.
Data
The rigourous testing platform for AI: Moving beyond aggregate metrics to systematic model validation.
