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GitHub / Deep-Learning-and-Aging / Main-pipeline-and-Images-based-models-pipeline
Core pipeline of the project. Build the models on medical images, merge all the other models and perform the analyses.
Stars: 0
Forks: 1
Open Issues: 4
License: mit
Language: Python
Repo Size: 3.11 MB
Dependencies:
47
Created: over 4 years ago
Updated: 9 months ago
Last pushed: over 1 year ago
Last synced: 9 months ago
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Dependencies
requirements.txt
pypi
- GPUtil ==1.4.0
- Keras ==2.3.1
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Pillow ==8.0.1
- beautifulsoup4 ==4.8.2
- bioinfokit ==0.8.8
- bs4 ==0.0.1
- efficientnet ==1.1.0
- gpuinfo ==1.0.0a6
- graphviz ==0.13.2
- hyperopt ==0.1.2
- imageio ==2.5.0
- innvestigate ==1.0.8
- ipdb ==0.13.2
- keract ==4.0.0
- keras-vis ==0.4.1
- kerasplotlib ==0.1.4
- lifelines ==0.25.6
- lightgbm ==2.3.1
- matplotlib ==3.3.3
- matplotlib-venn ==0.11.5
- more-itertools ==7.2.0
- multiprocess ==0.70.11.1
- numpy ==1.18.5
- nvgpu ==0.7.0
- nvidia-ml-py ==375.53.1
- opencv-python ==4.1.1.26
- opt-einsum ==3.2.1
- pandas ==0.25.3
- pickleshare ==0.7.5
- pydicom ==1.3.0
- scikit-image ==0.14.2
- scikit-learn ==0.23.0
- scipy ==1.4.1
- seaborn ==0.9.0
- six ==1.12.0
- sklearn ==0.0
- tensorflow-addons ==0.10.0
- tensorflow-estimator ==2.2.0
- tensorflow-gpu ==2.2.0
- tf-estimator-nightly ==1.14.0.dev2019030115
- tf-keras-vis ==0.3.1
- threadpoolctl ==2.0.0
- utils ==1.0.1
- virtualenv ==15.1.0
- xgboost ==0.82