https://github.com/ankitkomar1/qyieldnet
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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○Scientific vocabulary similarity
Low similarity (3.4%) to scientific vocabulary
Last synced: 9 months ago
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JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: ankitkomar1
- Default Branch: main
- Size: 19.5 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 1 year ago
· Last pushed about 1 year ago
Metadata Files
Readme
README.md
QYieldNet
QYieldNet is a hybrid quantum-classical framework for crop yield prediction using Variational Quantum Circuits.
Project Structure
dataset/: Contains sample dataset used for training and testing.src/: Contains source code implementing QYieldNet.notebooks/: Jupyter notebooks for experiments and visualization.requirements.txt: Required dependencies.
Owner
- Login: ankitkomar1
- Kind: user
- Repositories: 1
- Profile: https://github.com/ankitkomar1
GitHub Events
Total
- Push event: 1
- Create event: 2
Last Year
- Push event: 1
- Create event: 2
Dependencies
requirements.txt
pypi
- matplotlib *
- numpy *
- pandas *
- pennylane *
- qiskit *
- scikit-learn *