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GitHub / ray-project / ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ray-project%2Fray
Stars: 30,888
Forks: 5,218
Open Issues: 3,623
License: apache-2.0
Language: Python
Repo Size: 375 MB
Dependencies:
0
Created: over 7 years ago
Updated: 17 days ago
Last pushed: about 1 month ago
Last synced: about 1 month ago
Commit Stats
Commits: 20389
Authors: 1004
Mean commits per author: 20.31
Development Distribution Score: 0.935
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/ray-project/ray
Topics: 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
Files
No dependencies found