Sagemaker Libraries

Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON…

SageMaker Python SDK is an open source library for training and deploying machine learning models on Amazon SageMaker. The SageMaker Python SDK is built to PyPI and can be installed with pip as follo…

Runhouse is built to do four things: The above env list is a shorthand, but you can create quite elaborate envs (even quite a bit more elaborate than the example below). Local folders are sent (rsync…

Train machine learning models within a Docker container using Amazon SageMaker. Build and tag the Docker image. Implement an argument parser in the entry point script. For example, in a Python script…

Serve machine learning models within a Docker container using Amazon SageMaker. To use the SageMaker Inference Toolkit, you need to do the following: Note, passing context as an argument to the handl…

This repository contains examples and related resources showing you how to preprocess, train, debug your training script with breakpoints, and serve on your local machine using Amazon SageMaker Local…

SageMaker SSH Helper is the "army-knife" library that helps you to securely connect to Amazon SageMaker's training jobs, processing jobs, and realtime inference endpoints as well as SageMaker Studio …

My Projects, Kaggle Competitions and implementation of some popularly known machine learning algorithms. I have also included a list of research papers I have curated in the feild of ML/DL/AI. Follow…