https://github.com/aerojam95/mph-deep-learning-pipeline
A data pipeline that represents point clouds as multi-parameter persistent homology landscapes for deep learning models
https://github.com/aerojam95/mph-deep-learning-pipeline
convolutional-neural-networks deep-learning hera multiparameter-persistence persistent-homology pyrivet python3 pytorch rivet supervised-learning tda unsupervised-learning
Last synced: about 2 months ago
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A data pipeline that represents point clouds as multi-parameter persistent homology landscapes for deep learning models
- Host: GitHub
- URL: https://github.com/aerojam95/mph-deep-learning-pipeline
- Owner: aerojam95
- License: mit
- Created: 2024-07-12T16:18:54.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-08-11T18:27:31.000Z (9 months ago)
- Last Synced: 2024-08-12T18:22:14.455Z (9 months ago)
- Topics: convolutional-neural-networks, deep-learning, hera, multiparameter-persistence, persistent-homology, pyrivet, python3, pytorch, rivet, supervised-learning, tda, unsupervised-learning
- Language: Python
- Homepage:
- Size: 70.1 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE