dl-backtrace 0.0.9

A python SDK for Deep Learning Backtrace

AryaXai-Backtrace

Backtrace module for Generating Explainability on Deep learning models Example Notebooks :

Tensorflow Backtrace Tabular Example : https://colab.research.google.com/drive/1A4J-wgShD7M_pUmsqbnI8BD3hE43dT8o?usp=sharing

Tensorflow Backtrace Image Example : https://colab.research.google.com/drive/1KbLtcjYDrPQvG6oJj1wmHdiWxRrtKNrV?usp=sharing

Pytorch Backtrace Tabular Example : https://colab.research.google.com/drive/1Z4UJNFd83dwXBMM0cmiNYEjh6xhRtQA_?usp=sharing

Pytorch Backtrace Tabular Example : https://colab.research.google.com/drive/14XKwCsS9IZep2AlDDYfavnVRNz8_b-jM?usp=sharing

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.