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ray

Anyscalegithub.com/ray-project/ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Updated 42 min ago · first seen 11 Sept 2026

framework_01M294C6S4BRJN8RC2JPW3PVNN

Version
Ray-2.58.0
T2 · 47 min ago
Released
23 Aug 2026
T2 · 47 min ago
License
Apache-2.0
T2 · 47 min ago
Stars
43,782
T2 · 42 min ago

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Claim history · Topics

1 claims · 1 propertiesShow all properties

Topicstopics1

Claim history for Topics
ValueValid from → toStatusSourceConfidenceExtractor
data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search, large-language-models, llm, llm-inference, llm-serving, machine-learning, optimization, parallel, python, pytorch, ray, reinforcement-learning, rllib, serving, tensorflowcurrentcurrentGitHub public repositories (HTML, releases.atom, raw files)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →