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53 articles tagged "machine-learning" — page 1 of 2
mlflow(github.com)
|tool|GitHub

**MLflow is an open-source platform for managing the complete machine learning (ML) lifecycle, including experiment tracking, model packaging, deployment, and governance.** Originally developed by Dat...

mlflow(github.com)
|tool|GitHub

**MLflow is an open-source platform for managing the complete machine learning (ML) lifecycle, including experiment tracking, model packaging, deployment, and evaluation, with support for traditional ...

ray(github.com)
|tool|GitHub

**Ray is an open-source unified framework for scaling AI and Python applications, featuring a core distributed runtime and a suite of AI libraries to accelerate machine learning (ML) workloads.** [1][...

mlflow(github.com)
|tool|GitHub

MLflow is an open‑source platform for managing the end‑to‑end machine learning lifecycle — experiment tracking, reproducible project packaging, model packaging and deployment, and model governance/ver...

mlflow(github.com)
|tool|GitHub

**MLflow is an open-source platform designed to manage the complete machine learning (ML) lifecycle, including experimentation, reproducibility, deployment, and monitoring, while integrating with popu...

mlflow(github.com)
|tool|GitHub

**MLflow is an open-source platform designed to manage the complete machine learning (ML) lifecycle, including experiment tracking, model packaging, deployment, and productionization for traditional M...