dl-backtrace 0.0.16.dev4

A python SDK for Deep Learning Backtrace

AryaXai-Backtrace

Backtrace module for Generating Explainability on Deep learning models using TensorFlow / Pytorch

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:

pip install dl-backtrace

usage for Tensoflow based models

from dl_backtrace.tf_backtrace import Backtrace as B
from dl_backtrace.tf_backtrace import contrast as UC
from dl_backtrace.tf_backtrace import prop as UP
from dl_backtrace.tf_backtrace import activation_master

usage for Pytorch based models

from dl_backtrace.pytorch_backtrace import Backtrace as B
from dl_backtrace.pytorch_backtrace import contrast as UC
from dl_backtrace.pytorch_backtrace import prop as UP
from dl_backtrace.pytorch_backtrace import activation_master

Example Notebooks

Name	Link
Tensorflow Backtrace Tabular Dataset	Colab Link
Tensorflow Backtrace Textual Dataset	Colab Link
Tensorflow Backtrace Image Dataset	Colab Link
Pytorch Backtrace Tabular Dataset	Colab Link
Pytorch Backtrace Image Dataset	Colab Link

For more detailed examples and use cases, check out our documentation.

Supported Layers and Future Work

• Dense (Fully Connected) Layer
• Convolutional Layer (Conv2D)
• Reshape Layer
• Flatten Layer
• Global Average Pooling 2D Layer
• Max Pooling 2D Layer
• Average Pooling 2D Layer
• Concatenate Layer
• Add Layer
• Long Short-Term Memory (LSTM) Layer
• Batch Normalisation Layer
• Dropout Layer
• Embedding Layer
• Other Custom Layers

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.