39 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Azure Machine Learning Feature Store SDK | 1M | |
| An orchestration platform for the development, production, and observation of da... | 351K | |
| Build high-quality LLM apps - from prototyping, testing to production deployment... | 81K | |
| Rats is a collection of tools to help researchers define and run experiments. It... | 44K | |
| This repository is for active development of the Azure SDK for Python. For consu... | 9K | |
| Utilities for publishing assets to Azure Machine Learning system registries. | 7K | |
| A set of tools for organizing and scaling ML experiments | 5K | |
| AzureML Registry tools and CLI | 5K | |
| Modelzone SDK – a slim model training and serving toolkit | 3K | |
| Prompt flow tools for accessing popular vector databases | 2K | |
| 2K | ||
| Generic Azure integration layer for dl-core. | 2K | |
| Radar Live Python inference dependencies. | 1K | |
| This package provides functions to analyze emotions in video or audio files. It ... | 1K | |
| Kedro plugin with Azure ML Pipelines support | 1K | |
| Simple tool to submit jobs to Azure Machine Learning. | 1K | |
| Utility tools to use IrisML on AzureML | 728 | |
| A CLI tool to fine-tuning and deploying open-source models | 600 | |
| Kedro plugin with Azure ML Pipelines support | 575 | |
| Python package for root recognition and robot controll | 566 | |
| Official community-driven Azure Machine Learning examples, tested with GitHub Ac... | 561 | |
| Emulate Slurm/PBS/LSF HPC scheduler in Azure ML | 425 | |
| {{description}} | 357 | |
| 317 | ||
| azureml-infra-tools is a Python package providing high-level APIs for Azure Mach... | 269 | |
| Data Refresh and Intelligent Fast Training for Azure ML | 258 | |
| Simplified yaml/jsonargparse driven framework for AzureML interactions | 216 | |
| A versatile toolkit to analyze roots within petri dishes. | 175 | |
| MLOps utils with MLFlow | 156 | |
| 126 | ||
| A toolkit for evaluating the culture of MLX large language models (LLMs) on the ... | 122 | |
| Add your description here | 106 | |
| Add your description here | 98 | |
| {{description}} | 94 | |
| MCP server for outsourcing tasks to AI agents | 89 | |
| Enables Azure services integration with ProjetaAi/Kedro | 73 | |
| 73 | ||
| 53 | ||
| This is my tools package | 2 |
