Reverse Dependencies of azure-ai-ml

The following projects have a declared dependency on azure-ai-ml:

• airflow-provider-azure-machinelearning — Airflow provider package for Azure Machine Learning
• amlhpc — Emulate Slurm/PBS/LSF HPC scheduler in Azure ML
• archai — Platform for Neural Architecture Search
• azure-ai-resources — Microsoft Azure Azure AI control plane SDK Client Library for Python
• azureml-acft-common-components — Basic implementation of common components and utility functions that can be used by all verticals (image/video/nlp/multi-modal).
• azureml-assets — Utilities for publishing assets to Azure Machine Learning system registries.
• azureml-featurestore — Azure Machine Learning Feature Store SDK
• azureml-infra-tools — azureml-infra-tools is a Python package providing high-level APIs for Azure Machine Learning. It simplifies setup of Azure ML infrastructures, manages datasets, and streamlines authentication. Designed for AI researchers, data scientists, and ML engineers, it boosts productivity and accelerates Azure ML projects.
• azureml-rag — Contains Retrieval Augmented Generation related utilities for Azure Machine Learning and OSS interoperability.
• azureml-rai-utils — Azure Machine Learning Responsible AI Utils SDK
• cloud-data-connector — Intel's cloud data connector
• datarobot-bosun — datarobot-bosun module providing MLOps Management framework and plug-ins
• datarobot-mlflow — datarobot-mlflow client to synchronize an MLFlow model with DataRobot model
• emotion_detective — This package provides functions to analyze emotions in video or audio files. It offers a comprehensive set of tools to detect and analyze emotions at a sentence level, producing valuable insights into the emotion-content in videos and audios.
• ez-azml — Simplified yaml/jsonargparse driven framework for AzureML interactions
• filtered-faiss-lookup-pkg — Tool package to download a FAISS index from an Azure blobstore, do a similarity search and retrieve answers which can be filtered on metadata.
• fm-optimized-inference — no summary
• fw-presidio-image-redactor — {{description}}
• gega-promptflow-vectordb — Prompt flow tools for accessing popular vector databases
• gega-tools-package — This is my tools package
• hi-ml-azure — Microsoft Health Futures package to elevate and monitor scripts to an AzureML workspace
• irisml-tasks-azureml — Utility tools to use IrisML on AzureML
• kedro-azureml — Kedro plugin with Azure ML Pipelines support
• llm-gateway — This is LLM Gateway package
• llm-optimized-inference — no summary
• mldesigner — Azure Machine Learning Designer SDK
• mlflowops — MLOps utils with MLFlow
• mlopsrobotics — no summary
• mltable — Contains MLTable loading and authoring apis for the mltable package.
• my-tools-package — This is my tools package
• npeccv6 — Python package for root recognition and robot controll
• olive-ai — Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
• pipelinelocalrun — Package to support pipeline local run
• projetaai-azure — Enables Azure services integration with ProjetaAi/Kedro
• promptflow-azure — Prompt flow azure
• promptflow-core — Prompt flow core
• promptflow-vectordb — Prompt flow tools for accessing popular vector databases
• pyrit — The Python Risk Identification Tool for LLMs (PyRIT) is a library used to assess the robustness of LLMs
• rats-devtools — Rats Development Tools
• snowpark-session — no summary
• zenml — ZenML: Write production-ready ML code.
• zenml-nightly — ZenML: Write production-ready ML code.