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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Google AI Edge presents an extensive range of tools and frameworks aimed at simplifying the integration of artificial intelligence into mobile, web, and embedded applications. By facilitating on-device processing, it minimizes latency, supports offline capabilities, and keeps data secure and local. Its cross-platform compatibility ensures that the same AI model can operate smoothly across various embedded systems. Additionally, it boasts multi-framework support, accommodating models developed in JAX, Keras, PyTorch, and TensorFlow. Essential features include low-code APIs through MediaPipe for standard AI tasks, which enable rapid incorporation of generative AI, as well as functionalities for vision, text, and audio processing. Users can visualize their model's evolution through conversion and quantification processes, while also overlaying results to diagnose performance issues. The platform encourages exploration, debugging, and comparison of models in a visual format, allowing for easier identification of critical hotspots. Furthermore, it enables users to view both comparative and numerical performance metrics, enhancing the debugging process and improving overall model optimization. This powerful combination of features positions Google AI Edge as a pivotal resource for developers aiming to leverage AI in their applications.

Description

TorchMetrics comprises over 90 implementations of metrics designed for PyTorch, along with a user-friendly API that allows for the creation of custom metrics. It provides a consistent interface that enhances reproducibility while minimizing redundant code. The library is suitable for distributed training and has undergone thorough testing to ensure reliability. It features automatic batch accumulation and seamless synchronization across multiple devices. You can integrate TorchMetrics into any PyTorch model or utilize it within PyTorch Lightning for added advantages, ensuring that your data aligns with the same device as your metrics at all times. Additionally, you can directly log Metric objects in Lightning, further reducing boilerplate code. Much like torch.nn, the majority of metrics are available in both class-based and functional formats. The functional versions consist of straightforward Python functions that accept torch.tensors as inputs and yield the corresponding metric as a torch.tensor output. Virtually all functional metrics come with an equivalent class-based metric, providing users with flexible options for implementation. This versatility allows developers to choose the approach that best fits their coding style and project requirements.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

PyTorch Yes 
Gemma 3n Yes 
Google AI Edge Eloquent Yes 
Google Cloud Platform Yes 
Greenovative Yes 
Keras Yes 
Lightning AI No 
TensorFlow Yes 
This Is GEO Yes 

Integrations

PyTorch Yes 
Gemma 3n No 
Google AI Edge Eloquent No 
Google Cloud Platform No 
Greenovative No 
Keras No 
Lightning AI Yes 
TensorFlow No 
This Is GEO No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

ai.google.dev/edge

Vendor Details

Company Name

TorchMetrics

Country

United States

Website

torchmetrics.readthedocs.io/en/stable/

Product Features

Application Development

Access Controls/Permissions No 
Code Assistance No 
Code Refactoring No 
Collaboration Tools No 
Compatibility Testing No 
Data Modeling No 
Debugging No 
Deployment Management No 
Graphical User Interface No 
Mobile Development No 
No-Code No 
Reporting/Analytics No 
Software Development No 
Source Control No 
Testing Management No 
Version Control No 
Web App Development No 

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