+
+

Related Products

  • SCIKIQ
    14 Ratings
    Visit Website
  • TIMi
    68 Ratings
    Visit Website
  • FinOpsly
    3 Ratings
    Visit Website
  • Teradata VantageCloud
    1,124 Ratings
    Visit Website
  • Google Cloud Platform
    61,023 Ratings
    Visit Website
  • AnalyticsCreator
    46 Ratings
    Visit Website
  • Letsignit
    272 Ratings
    Visit Website
  • Files.com
    340 Ratings
    Visit Website
  • Stonebranch
    183 Ratings
    Visit Website
  • DataBuck
    6 Ratings
    Visit Website

About

Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO).

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies in need of a big data solution

Audience

Anyone seeking a solution providing several PyTorch metrics implementations to create custom metrics

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/databricks/

Company Information

TorchMetrics
United States
torchmetrics.readthedocs.io/en/stable/

Alternatives

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services
Keepsake

Keepsake

Replicate
Amazon EMR

Amazon EMR

Amazon

Categories

Categories

Integrations

Ango Hub
Artie
Chalk
Dagster
Databricks
Datafold
Drivetrain
Genesis Computing
Indent
Latitude
Mage Platform
Microsoft Power BI
ModelOp
Motileo
Nuvento
PyTorch
QueryPie
Replenit
Syntho
VE3 DataWise

Integrations

Ango Hub
Artie
Chalk
Dagster
Databricks
Datafold
Drivetrain
Genesis Computing
Indent
Latitude
Mage Platform
Microsoft Power BI
ModelOp
Motileo
Nuvento
PyTorch
QueryPie
Replenit
Syntho
VE3 DataWise
Claim Azure Databricks and update features and information
Claim Azure Databricks and update features and information
Claim TorchMetrics and update features and information
Claim TorchMetrics and update features and information