Metadata-Version: 2.4
Name: callmefair
Version: 0.0.1
Summary: A comprehensive framework for automatic bias mitigation in AI systems
Project-URL: Homepage, https://github.com/uofc-ai2lab/callmefair/
Project-URL: Issues, https://github.com/uofc-ai2lab/callmefair/issues
Author-email: Pedro Paiva <pedro.paiva1@ucalgary.ca>
License-Expression: MIT
License-File: LICENSE
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.11
Description-Content-Type: text/markdown

<div align="center">   

### Instruction: Mandatory Field (*), Optional Field()
  
  
# Write Your Project Title*
</div>

<h3 align="center">
  <a href="https://arxiv.org/abs/2212.10156">Paper Link*</a> |
  <a href="https://www.youtube.com/watch?v=cyrxJJ_nnaQ">Video</a> |
  <a href="sources/cvpr23_uniad_poster.png">Poster</a> |
  <a href="https://opendrivelab.com/e2ead/UniAD_plenary_talk_slides.pdf">Slides</a>
</h3>

<br><br>


## Table of Contents:
1. [Overview](#overview)
2. [News](#news)
3. [Getting Started](#start)
4. [Results](#results)
5. [Citation](#citation)
6. [License](#license)
7. [Related Resources](#resources)

## Overview* <a name="overview"></a>
In the "Overview" section of a project or research paper, briefly summarize the main goals, methods, and significance of the work. It should provide a clear context, explaining what the project or research aims to achieve. Keep it concise, avoiding technical jargon, while highlighting the novelty or impacts and results of the work.

## News <a name="news"></a>
Write about any changes or updates such as paper tile change, planning metric, bugfix, new features, awards, etc. to the repository.\
Eaxmple: - **`2024/10/10`** Paper available on arXiv.

## Getting Started* <a name="start"></a>
In the Get Started section of a GitHub project or research paper, provide clear instructions for users to set up and use your code. Also, mention the dataset source, any specific framework or libraries requirements, etc.

## Results* <a name="results"></a>
In the Results section of a project or research paper on GitHub, you should provide a clear and concise summary of the outcomes or findings. Here's a brief instruction:

Key Findings: main outcomes, metrics, insights. Use figures, charts, or tables.\
Performance Evaluation: Any performance metrics and compare with baselines or benchmarks if applicable.\
Reproducibility: Include links to data or code to reproduce results, if possible.

Make sure to keep it succinct and focus on the most relevant information.

| Method | Sensitivity | Specificity | Accuracy | mAP | Dice |
| :---: | :---: | :---: | :---: | :---:|:---:| 
| XXXXXX | 0.455 | 0.390 | 0.297 | 0.454 | 0.674 |

<p align="left">
  <img src="figure.png" alt="Figure" width="500"/>
  <br>
  <em>Figure 1: Please add necessary figures</em>
</p>


## Citation* <a name="citation"></a>

If you find our project useful for your research, please consider citing our paper and codebase with the following BibTeX:

```bibtex
@article{bento2022deep,
  title={Deep learning in large and multi-site structural brain MR imaging datasets},
  author={Bento, Mariana and Fantini, Irene and Park, Justin and Rittner, Leticia and Frayne, Richard},
  journal={Frontiers in Neuroinformatics},
  volume={15},
  pages={805669},
  year={2022},
  publisher={Frontiers Media SA}
}
```

## License <a name="license"></a>
In the License section of your GitHub project or research paper, include the type of license under which your code or content is released. Briefly explain the permissions and limitations associated with that license. Common licenses include MIT, GPL, or Apache.

## Related Resources <a name="resources"></a>
- [Related Literature](https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2024.1434421/full) (ai2lab)
- [Book Link](https://www.amazon.ca/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1098125975/ref=asc_df_1098125975/?gad_source=1&hvadid=706745562943&hvdev=c&hvdvcmdl&hvlocint&hvlocphy=9001320&hvnetw=g&hvpone&hvpos&hvptwo&hvqmt&hvrand=18226388509454359838&hvtargid=pla-1651497364252&linkCode=df0&mcid=7e8ca6f4dddf3bd783d530f456a83b68&psc=1&tag=googleshopc0c-20)
- [Web Content](https://d2l.ai/)
