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MLEM

Categories: Coding & Developer Tools, Automation / Agents  |  Pricing: Free  |  Official Website ↗

MLEM is an open-source tool that simplifies machine learning model deployment by saving models and their metadata in a Git-native way.

MLEM is an open-source tool designed to streamline the deployment of machine learning models. It allows users to save ML models with a simple Python call, automatically capturing model metadata and integrating with existing training workflows. The tool uses a human-readable YAML format, making it compatible with various ML frameworks. MLEM facilitates deployment across different platforms with a single command, promoting a Git-native approach to ML model registries. It integrates with other Iterative.ai tools like GTO and DVC to enable GitFlow and software engineering best practices for ML development. MLEM automatically detects ML frameworks, Python requirements, and data schemas.

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Integrations: GTO, DVC

Platforms: Web

Watch demo on YouTube ↗


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