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https://github.com/dominodatalab/reference-project-responsible-ai
https://github.com/dominodatalab/reference-project-responsible-ai
Last synced: 29 days ago
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- Host: GitHub
- URL: https://github.com/dominodatalab/reference-project-responsible-ai
- Owner: dominodatalab
- Created: 2024-01-08T22:04:54.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-04-16T17:24:19.000Z (8 months ago)
- Last Synced: 2024-04-16T22:40:38.669Z (8 months ago)
- Language: Jupyter Notebook
- Size: 3.94 MB
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Federal Responsible AI Template
This template is based on the Defense Innovation Unit's (DIU) Responsible AI Guidelines, which can be found [here](https://www.diu.mil/responsible-ai-guidelines).
Open the environment-tracking/setup.txt file and follow the instructions to add automated environment report creation to your project.
The notebooks can be used to set up a pipeline to programmatically set up Experiments, register a model, set up custom metrics, and track and export your models.
1-model-development.ipynb walks you through training an anomaly detection model, setting up a Domino Experiment, and adding the model to the Registry.
Note, you should remove the above section in your newly created project README file.
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# Project Name:
#### Project Goal:
Describe the overall goal of this project
#### Evaluation Criteria:
What are the quantitative performance metrics that will be used to evaluate this project (KPI, accuracy, etc)?
What are the baselines that you will use to measure against for system performance?
# Reference
### DIU Responsible AI Phases
