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About

Accelerate the end-to-end machine learning lifecycle with Azure Machine Learning Studio. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.

About

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data scientists, AI, and machine learning developers

Audience

Companies looking for an open source platform solution for the machine learning lifecycle

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/products/machine-learning/

Company Information

MLflow
Founded: 2018
United States
mlflow.org

Alternatives

Alternatives

Union Cloud

Union Cloud

Union.ai
DVC

DVC

iterative.ai

Categories

AI Development Supported
AI Governance Supported
AI Infrastructure Supported
Data Labeling Supported
Machine Learning Supported

Categories

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Supported
Statistical / Mathematical Tools Not Supported
Templates Not Supported
Visualization Not Supported

Data Labeling Features

Human-in-the-loop Supported
Labeling Automation Supported
Labeling Quality Supported
Performance Tracking Supported
Polygon, Rectangle, Line, Point Supported
SDK Supported
Supports Audio Files Supported
Task Management Supported
Team Collaboration Supported
Training Data Management Supported

Integrations

Azure Data Science Virtual Machines Supported
Azure Marketplace Supported
Cranium Supported
Kedro Supported
Superwise Supported
APERIO DataWise Supported
Azure Container Registry Supported
Databricks Not Supported
IBM watsonx.data integration Not Supported
LLaMA-Factory Not Supported
Ludwig Not Supported
ModelOp Supported
Modulos AI Governance Platform Not Supported
Omnisient Supported
RapidSOS Not Supported
TrueFoundry Not Supported
UbiOps Not Supported
lakeFS Not Supported

Integrations

Azure Data Science Virtual Machines Supported
Azure Marketplace Supported
Cranium Supported
Kedro Supported
Superwise Supported
APERIO DataWise Not Supported
Azure Container Registry Not Supported
Databricks Supported
IBM watsonx.data integration Supported
LLaMA-Factory Supported
Ludwig Supported
ModelOp Not Supported
Modulos AI Governance Platform Supported
Omnisient Not Supported
RapidSOS Supported
TrueFoundry Supported
UbiOps Supported
lakeFS Supported
Claim Azure Machine Learning and update features and information
Claim Azure Machine Learning and update features and information
Claim MLflow and update features and information
Claim MLflow and update features and information