Azure Machine Learning vs. TorchMetrics Comparison


Azure Machine Learning Microsoft	TorchMetrics	+	+
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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 TorchMetrics is a collection of 90+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. A standardized interface to increase reproducibility. It reduces boilerplate. distributed-training compatible. It has been rigorously tested. Automatic accumulation over batches. Automatic synchronization between multiple devices. You can use TorchMetrics in any PyTorch model, or within PyTorch Lightning to enjoy additional benefits. Your data will always be placed on the same device as your metrics. You can log Metric objects directly in Lightning to reduce even more boilerplate. Similar to torch.nn, most metrics have both a class-based and a functional version. The functional versions implement the basic operations required for computing each metric. They are simple python functions that as input take torch.tensors and return the corresponding metric as a torch.tensor. Nearly all functional metrics have a corresponding class-based metric.
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 Anyone seeking a solution providing several PyTorch metrics implementations to create custom metrics
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 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 Free Free Version 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 TorchMetrics United States torchmetrics.readthedocs.io/en/stable/
Alternatives Gemini Enterprise Agent Platform Google	Alternatives PyTorch
Anaconda	ExecuTorch
Amazon SageMaker Amazon	AWS Neuron Amazon Web Services
TensorFlow	Keepsake Replicate
Huawei Cloud ModelArts Huawei Cloud View All	Google Cloud Deep Learning VM Image Google 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 Application Development 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 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
Integrations APERIO DataWise Supported Azure AI Search Supported Azure Data Science Virtual Machines Supported Azure Database for MariaDB Supported Azure Kinect DK Supported Azure Marketplace Supported Azure Percept Supported BotCore Supported Cranium Supported Evvox Supported Kedro Supported Lightning AI Not Supported MLflow Supported ModelOp Supported Omnisient Supported PyTorch Not Supported Slingshot Supported Superwise Supported Visual Studio Code Supported Wizata Supported Show More Integrations View All 23 Integrations	Integrations APERIO DataWise Not Supported Azure AI Search Not Supported Azure Data Science Virtual Machines Not Supported Azure Database for MariaDB Not Supported Azure Kinect DK Not Supported Azure Marketplace Not Supported Azure Percept Not Supported BotCore Not Supported Cranium Not Supported Evvox Not Supported Kedro Not Supported Lightning AI Supported MLflow Not Supported ModelOp Not Supported Omnisient Not Supported PyTorch 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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