Azure Machine LearningMicrosoft
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Related Products
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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.
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About
Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.
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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
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Supported
Android
Supported
Chromebook
Not Supported
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Audience
Data scientists, AI, and machine learning developers
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Audience
Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/products/machine-learning/
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Company InformationPyTorch
Founded: 2016
pytorch.org
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Alternatives |
Alternatives |
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Categories |
Categories |
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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
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Integrations
Azure Marketplace
Supported
Microsoft Azure
Supported
ModelOp
Supported
NVIDIA Triton Inference Server
Supported
Superwise
Supported
Amazon EC2 Capacity Blocks for ML
Not Supported
Apolo
Not Supported
Bayesforge
Not Supported
Cyfuture Cloud
Not Supported
Google Cloud Platform
Not Supported
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Integrations
Azure Marketplace
Supported
Microsoft Azure
Supported
ModelOp
Supported
NVIDIA Triton Inference Server
Supported
Superwise
Supported
Amazon EC2 Capacity Blocks for ML
Supported
Apolo
Supported
Bayesforge
Supported
Cyfuture Cloud
Supported
Google Cloud Platform
Supported
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