@orchestra-research/ray-data
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.
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Checking scan reports and verification data.
Bill of Materials
Everything this skill can do — files, network, commands, and more.
No demos yet. To add one, ask your AI agent: "Submit a demo for @orchestra-research/ray-data" — or upload via the API.
To add a demo, ask your AI agent: "Submit a demo for @orchestra-research/ray-data"
No eval data yet. Eval results are published via the SkillSafe API.