aws / amazon-sagemaker-examples
Example ๐ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ๐ง Amazon SageMaker.
aws / amazon-sagemaker-examples
awslabs / gluonts
Probabilistic time series modeling in Python
aws / aws-sdk-pandas
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
aws / sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
yoshitomo-matsubara / torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. ๐26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. ๐ Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
aws-samples / generative-ai-use-cases
Application implementation with business use cases for safely utilizing generative AI in business operations
aws-samples / aws-ml-enablement-workshop
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awslabs / generative-ai-cdk-constructs
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
aws-samples / amazon-sagemaker-from-idea-to-production
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aws / sagemaker-training-toolkit
Train machine learning models within a ๐ณ Docker container using ๐ง Amazon SageMaker.