114 个项目
azureml-metrics
Contains the ML and non-Azure specific common code associated with AzureML metrics.
azureml-evaluate-mlflow
Contains the integration code of AzureML Evaluate with Mlflow.
azureml-acft-multimodal-components
Contains the acft multimodal-contrib package used in script to build azureml components.
azureml-acft-image-components
Contains the code for vision model's components.
azureml-acft-contrib-hf-nlp
Contains the acft nlp-hf-contrib package used in script to build azureml components.
azureml-acft-contrib-hf-diffusion
Contains the acft nlp-hf-contrib package used in script to build azureml components.
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-acft-accelerator
Contains the acft accelerator package used in script to build the azureml components.
azure-ai-generative
Microsoft Azure Machine Learning Client Library for Python
azure-ai-evaluation
Microsoft Azure Evaluation Library for Python
azureml-core
Azure Machine Learning core packages, modules, and classes
promptflow
Prompt flow Python SDK - build high-quality LLM apps
promptflow-azure
Prompt flow azure
promptflow-devkit
Prompt flow devkit
promptflow-core
Prompt flow core
promptflow-tracing
Prompt flow tracing
azureml-automl-dnn-nlp
End to end deep learning models for NLP tasks in AutoML.
azureml-assets
Utilities for publishing assets to Azure Machine Learning system registries.
azureml-automl-dnn-vision
AutoML DNN Vision Models
azureml-defaults
Is a metapackage that is used internally by Azure Machine Learning
azure-ai-ml
Microsoft Azure Machine Learning Client Library for Python
azureml-mlflow
Contains the integration code of AzureML with Mlflow.
azureml-contrib-automl-dnn-forecasting
Azure Automated Machine Learning DNN package for timeseries forecasting.
azureml-training-tabular
Contains ML models, featurizers and scoring code which can either be used with AutoML or standalone.
azureml-inference-server-http
Azure Machine Learning inferencing server.
azureml-rag
Contains Retrieval Augmented Generation related utilities for Azure Machine Learning and OSS interoperability.
promptflow-evals
Prompt flow evals
promptflow-vectordb
Prompt flow tools for accessing popular vector databases
azureml-widgets
Provides fully supported, with interactivity, async auto-updates, and non-blocking cell execution.
azureml-train-restclients-hyperdrive
Contains classes needed to create HyperDriveRuns with azureml-train-core.
azureml-train-core
Provides estimators for training models.
azureml-train-automl-runtime
Used for automatically finding the best machine learning model and its parameters.
azureml-train-automl-client
Used for automatically finding the best machine learning model and its parameters.
azureml-train-automl
Used for automatically finding the best machine learning model and its parameters.
azureml-train
None
azureml-tensorboard
Machine Learning TensorBoard package combines AzureML SDK with TensorBoard visualization
azureml-telemetry
Used to collect telemetry data like Log messages, metrics, events, and activity messages
azureml-synapse
Provides Magic command to manage Synapse session and submit job to Synapse Spark pool.
azureml-sdk
Used to build and run machine learning workflows upon the Azure Machine Learning service.
azureml-responsibleai
AzureML Responsible AI package
azureml-pipeline-steps
Aeva : represents a unit of computation in azureml-pipeline
azureml-pipeline-core
Contains core functionality for Azure Machine Learning pipelines, which are configurable machine learning workflows.
azureml-pipeline
Used to build, optimize, and manage their machine learning workflows.
azureml-opendatasets
Provides a set of APIs to consume Azure Open Datasets.
azureml-interpret
Machine Learning interpret package is used to interpret ML models
azureml-explain-model
The package has been deprecated and might not receive future updates.
azureml-dataset-runtime
The package is to coordinate dependencies within AzureML packages. This package is internal, and is not intended to be used directly.
azureml-datadrift
Contains functionality for data drift detection for various datasets used in machine learning.
azureml-contrib-services
Provides utilities for users which allows for handling of the raw http requests in webservices.
azureml-contrib-server
Local HTTP service used to expose the functionality given by the AzureML SDK to VS Tools for AI ext.
azureml-contrib-run
Contain the integration code of AzureML with Mlflow.
azureml-contrib-reinforcementlearning
Provides preview feature for AzureML Python SDK that allows to submit Reinforcement Learning runs. NOTE: Service is being deprecated. See https://aka.ms/rldeprecation for more information and timelines.
azureml-contrib-pipeline-steps
Azure Machine Learning Parallel Run Step - Deprecated
azureml-contrib-notebook
None
azureml-contrib-mir
AzureML Managed Inference Resource (MIRv1) Webservices client library
azureml-contrib-iot
Azure Machine Learning IoT
azureml-contrib-functions
Enable creation of Azure Functions applications from models registered with Azure Machine Learning.
azureml-contrib-fairness
Uploads fairness dashboards to AzureML (preview).
azureml-contrib-dataset
Contains experimental Dataset features for the azureml-core package.
azureml-contrib-automl-pipeline-steps
Helper classes, modules for creating AutoML many models train/inference steps using ParallelRunStep
azureml-contrib-aisc
AzureML Contrib for AzureML AI Super Computer compute target. AISC Compute is a managed AI compute infrastructure.
azureml-cli-common
(v1) Manage Azure Machine Learning resources. It is recommended to use the 2.0 extension - see aka.ms/azml2
azureml-automl-runtime
Contains the ML and non-Azure specific common code associated with running AutoML for public use.
azureml-automl-core
Contains the non-ML non-Azure specific common code associated with running AutoML.
azureml-automl-common-tools
Internal metapackage used for Azure machine learning.
azureml-accel-models
Used to create and train a model using various deep neural networks (DNNs).
db-copilot-tool
nl2sql tool for prompt flow
promptflow-parallel
Prompt flow parallel computing
promptflow-python-bundle
Allow you to create your own promptflow python base images
azureml-designer-pytorch-modules
Modules to train and inference image processing models based on pytorch framework.
promptflow-rag
Prompt flow index build
azureml-ai-monitoring
Microsoft Azure Machine Learning Python SDK v2 for collecting model data during operationalization
azureml-designer-classic-modules
A variety of modules for data processing, model training, inferencing and evaluation.
azureml-designer-vowpal-wabbit-modules
Modules to train and inference models based on Vowpal Wabbit framework.
azureml-designer-recommender-modules
Modules to train and inference recommendation models based on deep neural network.
azureml-designer-cv-modules
Modules to pre-process and transform images such as to crop, pad or resize.
azureml-designer-internal
Internal functionalities provided for Azure Machine Learning designer built-in modules. Not intended for public use.
azureml-designer-serving
Provide functionalities to invoke Azure Machine Learning designer built-in modules in deployment service.
azureml-designer-core
Core functionalities for data-type definition, data io and frequently-used functions.
azure-ai-resources
Microsoft Azure Azure AI control plane SDK Client Library for Python
promptflow-tools
Prompt flow built-in tools
azureml-featurestore
Azure Machine Learning Feature Store SDK
promptflow-image-bundle
Allow you to create your own prompt flow runtime base images
azureml-fsspec
Access datastore uri with fsspec
mldesigner
Azure Machine Learning Designer SDK
mltable
Contains MLTable loading and authoring apis for the mltable package.
fm-optimized-inference
automl-client-core-nativeclient
AutoML native client implementation
azure-ai-common
promptflow-sdk-bundle
promptflow-sdk-bundle
promptflow-sdk
DBCopilot
azureml-rai-utils
Azure Machine Learning Responsible AI Utils SDK
azureml-pipeline-wrapper
This package have been deprecated. Please use azure-ml-component instead.
azure-ml-component
Azure Machine Learning Component SDK
azure-ai-mlmonitoring
Azure Machine Learning Model Monitoring SDK V2
airflow-provider-azure-machinelearning
Airflow provider package for Azure Machine Learning
azureml-designer-dataio-modules
Modules to load data into Azure Machine Learning designer and write data to cloud-based storage.
azureml-designer-datatransform-modules
Modules to transform dataset, such as by applying math operations, sql queries, clipping outliers or generating a statistics report.
azure-ml
Azure Machine Learning SDK V2
azureml-k8s-mt
Azure Machine Learning Kubernetes Compute MT
azureml-contrib-k8s
Azure Machine Learning Kubernetes Compute
azureml-contrib-itp
Azure Machine Learning ITP package
azureml-contrib-automl-dnn-vision
AutoML DNN Vision Models
azureml-contrib-gbdt
azureml contrit gradient boosted decision tree
azureml-contrib-interpret
ML contrib interpret package contains experimental functionality to interpret ML models
azureml-designer-score-modules
azureml-designer-model-tools
azureml-contrib-datadrift
Azure Machine Learning datadrift
azureml-contrib-explain-model
azureml-contrib-opendatasets
Azure Machine Learning Open Datasets
azureml-webservice-schema
azureml webservice schema
azureml-contrib-brainwave
Azure Machine Learning Hardware Accelerated models
azureml-contrib-tensorboard
azureml-train-widgets
azureml train widgets