This is the catalogue of available applications in CHAIMELEON platform.
There are two types of applications:
- Batch applications (non-interactive) launched as k8s batch jobs.
If you still don't know how to launch one of these, see here. - Interactive applications launched as k8s deployments/services.
If you still don't know how to launch one of these, see here.
The user can launch batch jobs from any desktop in the platform.
The available docker images with applications to launch are listed with the command jobman images in your desktop.
| Image name (link to description) | Author | Dockerfile |
|---|---|---|
| ubuntu-python | UPV | Public |
| ubuntu-python-tensorflow | UPV | Public |
| ubuntu-python-pytorch | UPV | Public |
| mri_harmonization | Quibim | Private |
| Deepfakes Detector (private repository) from BGU | ||
| Lung CT Harmonisation (private repository) from Imperial | ||
| Non-imaging Data Augmentation from Imperial | ||
| SHAP Explainability Radiomics from University of Maastricht |
| Image name (link to description) | Author | Dockerfile |
|---|---|---|
| dicom-file-integrity-checker | IIS La Fe | Private |
| trace4harmonization | DeepTrace Technologies | Public |
| t2w-prostate-segmentation-tool | Quibim | Private |
| mammography-density-segmenter | ITI | Private |
These applications appear in the catalog of applications to deploy.
| Helm chart name (link to description) | Author | Dockerfile, helm chart |
|---|---|---|
| desktop-tensorflow | UPV | Public |
| jupyter-tensorflow | UPV | Public |
| desktop-pytorch | UPV | Public |
| jupyter-pytorch | UPV | Public |
| chaimeleon-superset | Bahia Software | Public |
| analytic-engine | Bahia Software | Private |
For new applications please read the developer guide.
To request the addition or update of an application choose one of the following ways:
- Open an issue by selecting one of the provided categories from the issue page and fill in the requested information.
- Fork this repository, add new directory with the name of image for you application, add a
README.mdfile (use the template) and submit a pull request with your addition.