58 dependents
| Package | Description | Downloads/month |
|---|---|---|
| A helper library to connect into Amazon SageMaker with AWS Systems Manager and S... | 56K | |
| AWS Framework for python | 23K | |
| Workbench: An easy to use Python API for creating and deploying AWS SageMaker Mo... | 22K | |
| Workbench: An easy to use Python API for creating and deploying AWS SageMaker Mo... | 8K | |
| A Python SDK for customizing Amazon Nova models. | 3K | |
| Exasol SageMaker Integration | 3K | |
| Easy Model Deployer | 3K | |
| Amazon SageMaker and Bedrock custom model deployments made easy | 3K | |
| Benchmark performance of **any Foundation Model (FM)** deployed on **any AWS Gen... | 3K | |
| A Python project for FloTorch | 2K | |
| 2K | ||
| BatCat, A Cat Looks Like A Bat. | 2K | |
| 1K | ||
| DeepSea-AI is a Python package to simplify processing deep sea video in AWS http... | 1K | |
| Cursus is an intelligent pipeline generation system that automatically creates c... | 1K | |
| Some dependencies for running sagemaker local. | 956 | |
| Governed, Observable & Declarative Machine Learning Framework | 905 | |
| Helper functions to work with SageMaker | 889 | |
| Tools for assisting with managing modern ml-ops-pipelines in AWS Sagemaker | 885 | |
| Amazon Foundation Model Evaluations | 838 | |
| A simple Sagemaker wrapper | 785 | |
| An engine for running component based ML pipelines | 754 | |
| Kedro plugin with AWS SageMaker Pipelines support | 753 | |
| An open source library and framework for deep learning on satellite and aerial i... | 732 | |
| General Machine Learning Utility Package for Data Extraction | 708 | |
| Library for Continual Learning for Practitioners | 705 | |
| Easy SageMaker Ops | 704 | |
| AgentGPT CLI for training and inference on AWS SageMaker | 665 | |
| A CLI tool to fine-tuning and deploying open-source models | 600 | |
| Python package to easily validate properties of a SageMaker Pipeline. | 434 | |
| 408 | ||
| Open source library for industry machine learning on Amazon SageMaker. | 343 | |
| Benchmark performance of **any model** on **any supported instance type** on Ama... | 323 | |
| High level framework to simplify the use of SageMaker | 308 | |
| Teradata API Client Python package | 269 | |
| A utterly useless package that imports everything for you. Now with top 1000 PyP... | 247 | |
| Sych LLM Playground is a command line tool to deploy and interact with language ... | 243 | |
| A SageMaker-compatible BundledScriptProcessor for running tar-bundled source dir... | 226 | |
| Open source library for training models with Amazon Neptune ML | 225 | |
| 211 | ||
| Peel away the pain of ml deployment | 207 | |
| AWS client package | 175 | |
| A library for configuring SageMaker pipelines using hierarchical configuration p... | 162 | |
| A Python wrapper library for SageMaker SDK v3 with configuration-driven defaults | 151 | |
| Fine-tune Large Language Models locally. | 124 | |
| HydroSDK integrations | 119 | |
| Cursus is an intelligent pipeline generation system that automatically creates c... | 109 | |
| A SageMaker Experiment logger class for PyTorch Lightning | 104 | |
| Make running Multi-Modal LLM easy. | 99 | |
| Deploy Model Anywhere on AWS | 94 |
