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GitHub / TatjanaUtz / RNN-SA
Schedulability analysis based on recurrent neural networks (RNNs).
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TatjanaUtz%2FRNN-SA
Stars: 0
Forks: 1
Open Issues: 9
License: None
Language: Python
Repo Size: 162 MB
Dependencies:
57
Created: over 5 years ago
Updated: almost 5 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Topics: analysis, learning, machine, network, neural, recurrent, schedulability
Files
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Readme
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Dependencies
requirements.txt
pypi
- Keras ==2.2.4
- Keras-Applications ==1.0.7
- Keras-Preprocessing ==1.0.9
- Markdown ==3.1
- PyYAML ==5.1
- Pygments ==2.3.1
- Werkzeug ==0.15.2
- absl-py ==0.7.1
- astetik ==1.9.8
- astor ==0.7.1
- backcall ==0.1.0
- certifi ==2019.3.9
- chances ==0.1.6
- chardet ==3.0.4
- colorama ==0.4.1
- cycler ==0.10.0
- decorator ==4.4.0
- gast ==0.2.2
- geonamescache ==1.0.1
- grpcio ==1.19.0
- h5py ==2.9.0
- idna ==2.8
- ipython ==7.4.0
- ipython-genutils ==0.2.0
- jedi ==0.13.3
- kerasplotlib ==0.1.4
- kiwisolver ==1.0.1
- matplotlib ==2.2.3
- mock ==2.0.0
- numpy ==1.16.2
- pandas ==0.24.2
- parso ==0.4.0
- patsy ==0.5.1
- pbr ==5.1.3
- pickleshare ==0.7.5
- prompt-toolkit ==2.0.9
- protobuf ==3.7.1
- pyparsing ==2.4.0
- python-dateutil ==2.8.0
- pytz ==2018.9
- requests ==2.21.0
- scikit-learn ==0.20.3
- scipy ==1.2.1
- seaborn ==0.9.0
- six ==1.12.0
- sklearn ==0.0
- statsmodels ==0.9.0
- talos ==0.4.9
- tensorboard ==1.13.1
- tensorflow ==1.13.1
- tensorflow-estimator ==1.13.0
- termcolor ==1.1.0
- tqdm ==4.31.1
- traitlets ==4.3.2
- urllib3 ==1.24.2
- wcwidth ==0.1.7
- wrangle ==0.6.2