Azure Machine Learning vs. Torch Comparison


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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 Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. The goal of Torch is to have maximum flexibility and speed in building your scientific algorithms while making the process extremely simple. Torch comes with a large ecosystem of community-driven packages in machine learning, computer vision, signal processing, parallel processing, image, video, audio and networking among others, and builds on top of the Lua community. At the heart of Torch are the popular neural network and optimization libraries which are simple to use, while having maximum flexibility in implementing complex neural network topologies. You can build arbitrary graphs of neural networks, and parallelize them over CPUs and GPUs in an efficient manner.
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 Supported iPad Supported Android Supported Chromebook Not Supported
Audience Data scientists, AI, and machine learning developers	Audience Developers looking for a scientific computing framework for their neural networks and energy-based models
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 View more images or videos	Screenshots and Videos View more images or 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 Torch torch.ch/
Alternatives Gemini Enterprise Agent Platform Google	Alternatives Sharky Neural Network SharkTime Software
Anaconda	PyTorch
Amazon SageMaker Amazon	Neural Designer Artelnics
TensorFlow	SHARK
Huawei Cloud ModelArts Huawei Cloud View All	Fido View All
Categories AI Development Supported AI Governance Supported AI Infrastructure Supported Data Labeling Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported	Categories 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 Show More Features 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 APERIO DataWise Supported Azure Container Registry Supported Azure Data Science Virtual Machines Supported Azure Database for MariaDB Supported Azure Kinect DK Supported BotCore Supported Cranium Supported Evvox Supported Hetman Internet Spy Not Supported Kedro Supported LeaderGPU Not Supported MLflow Supported Microsoft Azure Supported Microsoft Intelligent Data Platform Supported ModelOp Supported New Relic Supported Slingshot Supported Superwise Supported Visual Studio Code Supported Wizata Supported Show More Integrations View All 23 Integrations	Integrations 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 BotCore Not Supported Cranium Not Supported Evvox Not Supported Hetman Internet Spy Supported Kedro Not Supported LeaderGPU Supported MLflow Not Supported Microsoft Azure Not Supported Microsoft Intelligent Data Platform Not Supported ModelOp Not Supported New Relic Not Supported Slingshot Not Supported Superwise Not Supported Visual Studio Code Not Supported Wizata Not Supported Show More Integrations View All 2 Integrations
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