Build data processing pipelines for machine learning, from preprocessing to batch predictions. Uses Ray Data to handle datasets larger than memory, distribute work across CPUs and GPUs, and feed data into training frameworks.
- Preprocessing datasets larger than memory
- Running batch predictions across multiple GPUs
- Preparing image and tabular data for training
davila7/claude-code-templates☆ 32.8KUpdated Oct 18, 2026
Build data processing pipelines for machine learning, from preprocessing to batch predictions. Uses Ray Data to handle datasets larger than memory, distribute work across CPUs and GPUs, and feed data into training frameworks.
- Preprocessing datasets larger than memory
- Running batch predictions across multiple GPUs
- Preparing image and tabular data for training
Orchestra-Research/AI-Research-SKILLs☆ 13.7KUpdated Oct 11, 2026
Processamento escalável de dados para workloads de ML. Execução em streaming em CPU/GPU, suporta Parquet/CSV/JSON/imagens. Integra-se com Ray Train, PyTorch, TensorFlow. Escala de uma única máquina para centenas de nós. Use para inferência em lote, pré-processamento de dados, carregamento de dados multi-modal ou pipelines distribuídos de ETL.
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artubss/SKILLS-CLAUDE-CODE☆ 11Updated May 17, 2026