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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

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.

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

Audience

Data scientists, AI, and machine learning developers

Audience

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment

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 Not 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 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

PyTorch
Founded: 2016
pytorch.org

Alternatives

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Alternatives

TensorFlow

TensorFlow

5.0 out of 5 stars
Anaconda

Anaconda

4.4 out of 5 stars
Core ML

Core ML

Apple
Create ML

Create ML

Apple
TensorFlow

TensorFlow

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DeepSpeed

DeepSpeed

Microsoft
AWS Neuron

AWS Neuron

Amazon Web Services

Categories

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

Categories

AI Development Supported
Machine Learning Supported
Neural Network Supported

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 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
Guild AI Not Supported
HPC-AI Not Supported
Hugging Face Transformers Not Supported
LiteRT Not Supported
PaliGemma 2 Not Supported
Ray Not Supported
Unify AI Not Supported
Voxel51 Not Supported
Wizata Supported
trail Not Supported

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
Guild AI Supported
HPC-AI Supported
Hugging Face Transformers Supported
LiteRT Supported
PaliGemma 2 Supported
Ray Supported
Unify AI Supported
Voxel51 Supported
Wizata Not Supported
trail Supported
Claim Azure Machine Learning and update features and information
Claim Azure Machine Learning and update features and information
Claim PyTorch and update features and information
Claim PyTorch and update features and information