MLtraq

MLtraq

Track and Collaborate on AI Experiments.

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The open-source Python library for AI developers to design, execute and share experiments. Track anything, reproduce, collaborate, and resume the computation state anywhere.
MLtraq gallery image
MLtraq gallery image
MLtraq gallery image
Free
Launch tags:Open Source•Artificial Intelligence•Data Science
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Intercom
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Michele Dallachiesa
Maker
📌
Introducing MLtraq: Empowering AI developers with enhanced experimentation capabilities. Hi Network! Today, I'm thrilled to share with you MLtraq, a project I've been quietly working on for the past two years: MLtraq is an open-source Python library for AI developers to design, execute and share experiments. It allows you to track anything, reproduce, collaborate, and resume the computation state anywhere. Key benefits: 🚀 Extreme Tracking and Interoperability: With native database types, native serialization in Numpy and PyArrow, and a safe subset of opcodes for Python pickles, MLtraq ensures unparalleled tracking capabilities. 🤝 Promoting Distributed Collaboration: Collaborate seamlessly with your team by creating, storing, reloading, mixing, resuming, and sharing experiments using any local/cloud SQL database. ⚡️ Flexible: Interact with your experiments using Python, Pandas, and SQL from Jupyter notebooks, dashboards, or any other data analysis and visualization tool without any vendor lock-in.