Azure Machine LearningMicrosoft
|
RayAnyscale
|
|||||
Related Products
|
||||||
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
Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.
|
|||||
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
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Data scientists, AI, and machine learning developers
|
Audience
ML and AI Engineers, Software Developers
|
|||||
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
Free
Open source. Consumption-based.
Free Version
Supported
Free Trial
Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
|
|||||
Company InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/products/machine-learning/
|
Company InformationAnyscale
Founded: 2019
United States
ray.io
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
||||||
Categories |
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
MLflow
Supported
APERIO DataWise
Supported
Azure Container Registry
Supported
Azure Data Science Virtual Machines
Supported
Azure Database for MariaDB
Supported
Azure Kinect DK
Supported
Azure Marketplace
Supported
Feast
Not Supported
Flyte
Not Supported
Google Cloud Platform
Not Supported
|
Integrations
MLflow
Supported
APERIO DataWise
Not Supported
Azure Container Registry
Not Supported
Azure Data Science Virtual Machines
Not Supported
Azure Database for MariaDB
Not Supported
Azure Kinect DK
Not Supported
Azure Marketplace
Not Supported
Feast
Supported
Flyte
Supported
Google Cloud Platform
Supported
|
|||||
|
|
|