Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Traditional CPUs are struggling to meet the growing demands for enhanced computing capabilities, while GPU processors can outperform them by a factor of 100 to 200 in terms of data processing speed. We offer specialized servers tailored for machine learning and deep learning, featuring unique capabilities. Our advanced hardware incorporates the NVIDIA® GPU chipset, renowned for its exceptional operational speed. Among our offerings are the latest Tesla® V100 cards, which boast remarkable processing power. Our systems are optimized for popular deep learning frameworks such as TensorFlow™, Caffe2, Torch, Theano, CNTK, and MXNet™. We provide development tools that support programming languages including Python 2, Python 3, and C++. Additionally, we do not impose extra fees for additional services, meaning that disk space and traffic are fully integrated into the basic service package. Moreover, our servers are versatile enough to handle a range of tasks, including video processing and rendering. Customers of LeaderGPU® can easily access a graphical interface through RDP right from the start, ensuring a seamless user experience. This comprehensive approach positions us as a leading choice for those seeking powerful computational solutions.

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

C++ Yes 
Lightning AI No 
MXNet Yes 
NVIDIA DRIVE Yes 
PyTorch No 
Python Yes 
TensorFlow Yes 
Torch Yes 

Integrations

C++ No 
Lightning AI Yes 
MXNet No 
NVIDIA DRIVE No 
PyTorch Yes 
Python No 
TensorFlow No 
Torch No 

Pricing Details

€0.14 per minute
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
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) Yes 
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) No 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

LeaderGPU

Country

Netherlands

Website

www.leadergpu.com

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 

Alternatives

Alternatives

Keepsake Reviews

Keepsake

Replicate
AWS Neuron Reviews

AWS Neuron

Amazon Web Services