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anaconda.org : mlflow
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud).
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Source
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purl: pkg:conda/mlflow
Keywords: ai, apache-spark, machine-learning, ml, mlflow, model-management
License: Apache-2.0
Latest release: 3 months ago
First release: 12 months ago
Dependent repositories: 40
Stars: 14,910 on GitHub
Forks: 3,482 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: about 5 hours ago