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conda-forge.org : ray-all
Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.
Registry
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Source
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purl: pkg:conda/ray-all
Keywords: automl, data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search, java, llm-serving, machine-learning, model-selection, optimization, parallel, python, pytorch, ray, reinforcement-learning, rllib, serving, tensorflow
License: Apache-2.0
Latest release: over 1 year ago
First release: over 3 years ago
Dependent packages: 3
Dependent repositories: 1
Stars: 28,849 on GitHub
Forks: 4,941 on GitHub
Total Commits: 19892
Committers: 984
Average commits per author: 20.215
Development Distribution Score (DDS): 0.933
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Last synced: 3 days ago