https://github.com/stanfordasl/data-lifecycle-management
Code accompanying the AI4Space 2022 paper "Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications" by Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, and Marco Pavone.
https://github.com/stanfordasl/data-lifecycle-management
aerospace benchmark data-lifecycle-management distribution-shift learning-based out-of-distribution-detection satellite-pose-estimation
Last synced: 11 days ago
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Code accompanying the AI4Space 2022 paper "Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications" by Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, and Marco Pavone.
- Host: GitHub
- URL: https://github.com/stanfordasl/data-lifecycle-management
- Owner: StanfordASL
- License: mit
- Created: 2022-07-22T01:38:28.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-12-06T03:14:49.000Z (6 months ago)
- Last Synced: 2024-12-06T04:22:52.163Z (6 months ago)
- Topics: aerospace, benchmark, data-lifecycle-management, distribution-shift, learning-based, out-of-distribution-detection, satellite-pose-estimation
- Language: Jupyter Notebook
- Homepage:
- Size: 403 MB
- Stars: 5
- Watchers: 9
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE