wehub-resource-sync
54 lines
1.7 KiB
YAML
54 lines
1.7 KiB
YAML
- file: ray-overview/getting-started
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title: "Get Started"
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- file: ray-overview/use-cases
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title: "Use Cases"
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- file: ray-overview/examples
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title: "Example Gallery"
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- file: ray-overview/installation
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title: "Library"
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sections:
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- file: ray-core/walkthrough
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title: Ray Core
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caption: Scale general Python applications
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- file: data/data
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title: Ray Data
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caption: Scale data ingest and preprocessing
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- file: train/train
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title: Ray Train
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caption: Scale machine learning training
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- file: tune/index
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title: Ray Tune
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caption: Scale hyperparameter tuning
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- file: serve/index
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title: Ray Serve
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caption: Scale model serving
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- file: rllib/index
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title: Ray RLlib
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caption: Scale reinforcement learning
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- file: apis/index
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title: "APIs"
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- link: https://discuss.ray.io
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title: "Resources"
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sections:
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- link: https://discuss.ray.io
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title: "Discussion Forum"
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caption: Get your Ray questions answered
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- link: https://github.com/ray-project/ray-educational-materials
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title: "Training"
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caption: Hands-on learning
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- link: https://www.anyscale.com/blog
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title: "Blog"
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caption: Updates, best practices, user-stories
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- link: https://www.anyscale.com/events
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title: "Events"
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caption: Webinars, meetups, office hours
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- link: https://www.anyscale.com/blog/how-ray-and-anyscale-make-it-easy-to-do-massive-scale-machine-learning-on
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title: "Success Stories"
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caption: Real-world workload examples
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- file: ray-overview/ray-libraries
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title: "Ecosystem"
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caption: Libraries integrated with Ray
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- link: https://www.ray.io/community
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title: "Community"
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caption: Connect with us
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