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GitHub / SCSE-Biomedical-Computing-Group / LEAN_CLIP
Code for paper 'Obtaining leaner DNN for decoding brain functional connectome in a single shot'
Stars: 2
Forks: 2
Open Issues: 5
License: None
Language: Python
Repo Size: 1.99 MB
Dependencies:
29
Created: over 4 years ago
Updated: about 1 year ago
Last pushed: about 1 year ago
Last synced: about 1 year ago
Topics: ad, adhd, alzheimers-disease, autism, cn-mci, decoding, deeplift, encoding, mci, saliency
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Readme
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Dependencies
requirements.txt
pypi
- Keras ==2.2.4
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Markdown ==3.2.1
- PyYAML ==5.4
- Werkzeug ==1.0.0
- absl-py ==0.9.0
- astor ==0.8.1
- cycler ==0.10.0
- deeplift ==0.6.8.1
- gast ==0.3.3
- grpcio ==1.27.2
- h5py ==2.8.0
- joblib ==0.14.1
- kiwisolver ==1.1.0
- kneed ==0.5.0
- matplotlib ==3.0.3
- numpy ==1.16.0
- powerlaw ==1.4.4
- protobuf ==3.11.3
- pyparsing ==2.4.6
- python-dateutil ==2.8.1
- scikit-learn ==0.22.1
- scipy ==1.2.0
- six ==1.14.0
- sklearn ==0.0
- tensorboard ==1.12.2
- tensorflow-gpu ==1.15.4
- termcolor ==1.1.0