Add description here...
Project description
AryaXai-Backtrace
Backtrace module for Generating Explainability on Deep learning models
Backtrace Module
Overview
The Backtrace Module is a powerful and patent-pending algorithm developed by AryaXAI for enhancing the explainability of AI models, particularly in the context of complex techniques like deep learning.
Features
-
Explainability: Gain deep insights into your AI models by using the Backtrace algorithm, providing multiple explanations for their decisions.
-
Consistency: Ensure consistent and accurate explanations across different scenarios and use cases.
-
Mission-Critical Support: Tailored for mission-critical AI use cases where transparency is paramount.
Installation
To integrate the Backtrace Module into your project, follow these simple steps:
For more detailed examples and use cases, check out our documentation.
Getting Started
If you are new to Backtrace, head over to our Getting Started Guide to quickly set up and use the module in your projects.
Contributing
We welcome contributions from the community. To contribute, please follow our Contribution Guidelines.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contact
For any inquiries or support, please contact AryaXAI Support.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for dl_backtrace-0.0.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4967d7eaeedca106d41aa2f4f1fd34f0c3f354a61055f04a654c8504180fc376 |
|
MD5 | da5b5fc634e564719354edb22281d41a |
|
BLAKE2b-256 | ac7b75ec9554dbb7d534f8ddac13eee0158c46a99d718ddbe708ee8b9573be7c |