btp-ai-sustainability-bootcamp
Showcasing SAP partners how to add Intelligence and Sustainability into your industry cloud solutions on SAP Business Technology Platform.
https://github.com/sap-archive/btp-ai-sustainability-bootcamp
Category: Consumption
Sub Category: Production and Industry
Keywords
computer-vision condition-monitoring deep-learning defect-detection image-segmentation machine-learning predictive-maintenance sac-planning sample sample-code sap-ai-core sap-ai-launchpad sap-analytics-cloud sound-classification sustainability
Keywords from Contributors
sap-btp clean-core gpt-4 industry-cloud manufacturing oil-and-gas process-automation real-estate service transportation
Last synced: about 5 hours ago
JSON representation
Repository metadata
This github repository contains the sample code and exercises of btp-ai-sustainability-bootcamp, which showcases how to build Intelligence and Sustainability into Your Solutions on SAP Business Technology Platform with SAP AI Core and SAP Analytics Cloud for Planning.
- Host: GitHub
- URL: https://github.com/sap-archive/btp-ai-sustainability-bootcamp
- Owner: SAP-archive
- License: apache-2.0
- Archived: true
- Created: 2022-02-14T16:26:31.000Z (over 4 years ago)
- Default Branch: opensap-freetier
- Last Pushed: 2026-02-10T15:48:40.000Z (6 months ago)
- Last Synced: 2026-08-06T04:49:00.777Z (7 days ago)
- Topics: computer-vision, condition-monitoring, deep-learning, defect-detection, image-segmentation, machine-learning, predictive-maintenance, sac-planning, sample, sample-code, sap-ai-core, sap-ai-launchpad, sap-analytics-cloud, sound-classification, sustainability
- Language: Jupyter Notebook
- Homepage: https://blogs.sap.com/2022/05/19/building-intelligent-scenarios-and-sustainability-on-sap-btp/
- Size: 431 MB
- Stars: 54
- Watchers: 17
- Forks: 29
- Open Issues: 3
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata
- Name: SAP Archive
- Login: SAP-archive
- Email: ospo@sap.com
- Kind: organization
- Description: Retired and frozen projects of SAP. Feel free to fork and continue using them on your own.
- Website: https://opensource.sap.com
- Location: Walldorf, Germany
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/60968825?v=4
- Repositories: 449
- Last ynced at: 2024-04-14T07:04:37.694Z
- Profile URL: https://github.com/SAP-archive
GitHub Events
Total
Last Year
Committers metadata
Last synced: 4 days ago
Total Commits: 824
Total Committers: 13
Avg Commits per committer: 63.385
Development Distribution Score (DDS): 0.722
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| yatseali | y****i | 229 |
| amagnani | a****i@g****m | 176 |
| Jacob Tan | j****9@g****m | 136 |
| Calabria | I****3@f****n | 97 |
| Cesare Calabria | c****3@g****m | 66 |
| sap-btp-ai-sustainability-bootcamp | c****a@s****m | 51 |
| Yatsea Li | y****i@s****m | 48 |
| Calabria | I****3@g****n | 12 |
| Ajinkya Patil | a****l@g****m | 3 |
| dependabot[bot] | 4****] | 3 |
| Swapnil Nangare | 5****9 | 1 |
| MostafaSharaf | m****f@s****m | 1 |
| Brian Bernard | b****d@s****m | 1 |
Committer domains:
Dependencies
- ai-core-sdk *
- joblib *
- jupyterlab *
- keras *
- librosa *
- matplotlib *
- numpy *
- opencv-python-headless *
- pandas *
- pyyaml *
- scikit-learn *
- scipy *
- tensorflow *
- tensorflow/tensorflow latest build
- tensorflow/tensorflow latest build
- Flask ==2.0.3
- gunicorn ==20.1.0
- joblib ==1.2.0
- opencv-python-headless ==4.5.3.56
- pandas ==1.3.5
- scikit-learn ==1.0.2
- ai-core-sdk ==1.12.0
- albumentations ==1.1.0
- joblib ==1.2.0
- opencv-python-headless ==4.5.3.56
- pandas ==1.3.5
- scikit-learn ==1.0.2
Score: 6.6080006252960874