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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Machine learning metrics for distributed, scalable PyTorch applications.
Feature engineering and selection open-source Python library compatible with sklearn.
A Julia machine learning framework
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
Machine learning with dataframes