machine-learning-for-physical-sciences
AI assisted Quantum technologies
https://github.com/slohani-ai/machine-learning-for-physical-sciences
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.3%) to scientific vocabulary
Keywords
deep-learning
free-space-optical-communiucation
machine-learning
quantum-computing
quantum-networking
quantum-state-tomography
Last synced: 9 months ago
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JSON representation
Repository
AI assisted Quantum technologies
Basic Info
- Host: GitHub
- Owner: slohani-ai
- License: apache-2.0
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://sanjayalohani.com/
- Size: 154 MB
Statistics
- Stars: 12
- Watchers: 2
- Forks: 5
- Open Issues: 0
- Releases: 1
Topics
deep-learning
free-space-optical-communiucation
machine-learning
quantum-computing
quantum-networking
quantum-state-tomography
Created over 4 years ago
· Last pushed over 3 years ago
Metadata Files
Readme
License
Citation
README.md
Machine Learning for Physical Sciences (mlphys)
Author: Sanjaya Lohani
Email: slohani@mlphys.com
Web-app: mlphys app
Installation
pip install mlphys
API
Owner
- Name: Sanjaya Lohani
- Login: slohani-ai
- Kind: user
- Website: https://sanjayalohani.com/
- Twitter: slohani_ai
- Repositories: 2
- Profile: https://github.com/slohani-ai
Machine Learning, Artificial Intelligence, Quantum Technologies, Free Space Communications
GitHub Events
Total
- Fork event: 1
Last Year
- Fork event: 1