Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • New Relic Reviews & Ratings
    2,941 Ratings
    Company Website
  • Planview Software Product Delivery Reviews & Ratings
    2 Ratings
    Company Website
  • Nasdaq Metrio Reviews & Ratings
    14 Ratings
    Company Website
  • Overmonitor Reviews & Ratings
    8 Ratings
    Company Website
  • Splashtop Autonomous Endpoint Management Reviews & Ratings
    402 Ratings
    Company Website
  • AdRem NetCrunch Reviews & Ratings
    165 Ratings
    Company Website
  • Runn Reviews & Ratings
    37 Ratings
    Company Website
  • Insightful Reviews & Ratings
    707 Ratings
    Company Website
  • ThriveSparrow Reviews & Ratings
    43 Ratings
    Company Website
  • Total ETO Reviews & Ratings
    46 Ratings
    Company Website

What is TorchMetrics?

TorchMetrics offers a collection of over 90 performance metrics tailored for PyTorch, complemented by an intuitive API that enables users to craft custom metrics effortlessly. By providing a standardized interface, it significantly boosts reproducibility and reduces instances of code duplication. Furthermore, this library is well-suited for distributed training scenarios and has been rigorously tested to confirm its dependability. It includes features like automatic batch accumulation and smooth synchronization across various devices, ensuring seamless functionality. You can easily incorporate TorchMetrics into any PyTorch model or leverage it within PyTorch Lightning to gain additional benefits, all while ensuring that your metrics stay aligned with the same device as your data. Moreover, it's possible to log Metric objects directly within Lightning, which helps streamline your code and eliminate unnecessary boilerplate. Similar to torch.nn, most of the metrics are provided in both class and functional formats. The functional versions are simple Python functions that accept torch.tensors as input and return the respective metric as a torch.tensor output. Almost all functional metrics have a corresponding class-based version, allowing users to select the method that best suits their development style and project needs. This flexibility empowers developers to implement metrics in a way that aligns with their unique workflows and preferences. Furthermore, the extensive range of metrics available ensures that users can find the right tools to enhance their model evaluation and performance tracking.

What is Azure Databricks?

Leverage your data to uncover meaningful insights and develop AI solutions with Azure Databricks, a platform that enables you to set up your Apache Spark™ environment in mere minutes, automatically scale resources, and collaborate on projects through an interactive workspace. Supporting a range of programming languages, including Python, Scala, R, Java, and SQL, Azure Databricks also accommodates popular data science frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn, ensuring versatility in your development process. You benefit from access to the most recent versions of Apache Spark, facilitating seamless integration with open-source libraries and tools. The ability to rapidly deploy clusters allows for development within a fully managed Apache Spark environment, leveraging Azure's expansive global infrastructure for enhanced reliability and availability. Clusters are optimized and configured automatically, providing high performance without the need for constant oversight. Features like autoscaling and auto-termination contribute to a lower total cost of ownership (TCO), making it an advantageous option for enterprises aiming to improve operational efficiency. Furthermore, the platform’s collaborative capabilities empower teams to engage simultaneously, driving innovation and speeding up project completion times. As a result, Azure Databricks not only simplifies the process of data analysis but also enhances teamwork and productivity across the board.

Media

Media

Integrations Supported

AnalyticsCreator
Bluemetrix
Chalk
DQOps
Dagster
Datafold
Drivetrain
Evvox
HStreamDB
Herus
Horovod
Jamba
LOGIQ
Latitude
Mage Sensitive Data Discovery
NLSQL
Nucleon Database Master
Prophecy
Quaeris
Replenit

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

TorchMetrics

Company Location

United States

Company Website

torchmetrics.readthedocs.io/en/stable/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/databricks/

Categories and Features

Categories and Features

Big Data

Not specified

Popular Alternatives

Popular Alternatives

AWS Neuron Reviews & Ratings

AWS Neuron

Amazon Web Services