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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Tensor aims to establish itself as the premier trading platform for professional NFT traders. The inception of Tensor was driven by our own experiences flipping NFTs on a daily basis, as we found the available tools to be lacking. Our desire for enhanced speed, broader coverage, more comprehensive data, and sophisticated order types led to the creation of Tensor. Upon visiting Tensor, users will encounter a streamlined decentralized application (dApp), although several components work harmoniously behind the scenes. Our bonding-curve-based orders, whether linear or exponential, allow for dollar-cost averaging into or out of NFTs with ease. We also prioritize the instant listing of new collections, recognizing the eagerness of traders to access the latest offerings. By providing liquidity and facilitating market creation for preferred NFT collections on TensorSwap, users can earn trading fees and liquidity provider rewards. Additionally, market makers play a crucial role in enhancing market liquidity, enabling other traders to enter and exit the market at more advantageous prices, which ultimately fosters a more dynamic trading environment. Together, these features make Tensor an indispensable tool for NFT enthusiasts looking to optimize their trading strategies.

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

Base App Yes 
Brave Browser Yes 
Brave Wallet Yes 
Dataoorts GPU Cloud Yes 
Glow Wallet Yes 
Ledger Yes 
Lightning AI No 
Phantom Yes 
PyTorch No 
Rally Yes 
Slope Yes 
Solana Yes 
Solflare Yes 
Torus Yes 

Integrations

Base App No 
Brave Browser No 
Brave Wallet No 
Dataoorts GPU Cloud No 
Glow Wallet No 
Ledger No 
Lightning AI Yes 
Phantom No 
PyTorch Yes 
Rally No 
Slope No 
Solana No 
Solflare No 
Torus No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 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 No 
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) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

Tensor

Website

www.tensor.trade/

Vendor Details

Company Name

TorchMetrics

Country

United States

Website

torchmetrics.readthedocs.io/en/stable/

Product Features

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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