https://github.com/eoap/machine-learning-process
Machine Learning Process using the EO Application Package
https://github.com/eoap/machine-learning-process
common-workflow-language inference machine-learning training
Last synced: 4 months ago
JSON representation
Machine Learning Process using the EO Application Package
- Host: GitHub
- URL: https://github.com/eoap/machine-learning-process
- Owner: eoap
- License: apache-2.0
- Created: 2025-03-11T14:54:34.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-08-22T11:26:53.000Z (10 months ago)
- Last Synced: 2025-09-04T17:15:18.181Z (9 months ago)
- Topics: common-workflow-language, inference, machine-learning, training
- Language: Jupyter Notebook
- Homepage: https://eoap.github.io/machine-learning-process/
- Size: 147 MB
- Stars: 0
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Codemeta: codemeta.json
Awesome Lists containing this project
README
# Machine-learning-process
[](https://www.repostatus.org/#wip)
[](https://github.com/mkenney/software-guides/blob/master/STABILITY-BADGES.md#work-in-progress)
Users should follow the documentation available at this [link](https://eoap.github.io/machine-learning-process/).
The documentation is organized into sections, each providing specific information about the project:
- **[Introduction](https://eoap.github.io/machine-learning-process/):** Offers a high-level overview of the project.
- **[How-to Guides](https://eoap.github.io/machine-learning-process/hands-on/):** Outlines the order in which modules should be executed.
- **Tutorials:** Walks through the steps required to run the application packages:
- **Application Packages:**
- [Run the Training Module using CWL Runner](https://eoap.github.io/machine-learning-process/training-cwl/)
- [Run the Inference Module using CWL Runner](https://eoap.github.io/machine-learning-process/inference-cwl/)
- [Describe a Trained Machine Learning Model](https://eoap.github.io/machine-learning-process/mlm/)
- **Reference Guides:** Provides in-depth documentation for the two application packages:
- [Training a Machine Learning Model](https://eoap.github.io/machine-learning-process/training-container/)
- [Running Inference on Real-World Data](https://eoap.github.io/machine-learning-process/inference-container/)
- **[Technical Insights and Learnings](https://eoap.github.io/machine-learning-process/insights/):** Shares the decisions and insights gained during development.