A library for training and deploying machine learning models on Amazon SageMaker
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A library for training and deploying machine learning models on Amazon SageMaker
A Spark library for Amazon SageMaker.
RubensZimbres
Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspber…
awslabs
Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my…
awslabs
Generates code that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the forma…
neo-ai
Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
Use this skill when diagnosing IAM and access failures for Bedrock and SageMaker. It traces the authorization chain — caller identity, iam:PassRole, trust policy, role p…
awslabs
Selects a fine-tuning technique (SFT, DPO, RLVR, or RLAIF) for the user's use case and validates it against the selected model's available recipes. Use when the user has…