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GitHub / hamza-hadj-aissa / APMLV
APMLV ( i.e. Automated Prediction and Management of Logical Volumes ) is a project that leverages deep learning and automation to optimize the management of logical volumes resources
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hamza-hadj-aissa%2FAPMLV
Stars: 1
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 18.1 MB
Dependencies:
51
Created: 7 months ago
Updated: 2 months ago
Last pushed: 5 months ago
Last synced: 2 months ago
Topics: ai, ansible, automation, data-science, deep-learning, filesystems, forcasting, linux, lstm-neural-networks, lvm, optimization, postgresql, prediction, python, pytorch, reccurent-neural-networks, sql, storage-manager, time-series-prediction, virtual-machine
Files
Dependencies
- Jinja2 ==3.1.2
- MarkupSafe ==2.1.3
- Pillow ==9.3.0
- PyQt5 ==5.15.10
- PyQt5-Qt5 ==5.15.2
- PyQt5-sip ==12.13.0
- PyYAML ==6.0.1
- SQLAlchemy ==2.0.23
- SQLAlchemy-Utils ==0.41.1
- ansible-runner ==2.3.4
- certifi ==2022.12.7
- charset-normalizer ==2.1.1
- contourpy ==1.2.0
- cycler ==0.12.1
- docutils ==0.20.1
- filelock ==3.9.0
- fonttools ==4.45.1
- fsspec ==2023.4.0
- greenlet ==3.0.1
- idna ==3.4
- joblib ==1.3.2
- kiwisolver ==1.4.5
- lockfile ==0.12.2
- matplotlib ==3.8.2
- mpmath ==1.3.0
- networkx ==3.0
- nose ==1.3.7
- numpy ==1.26.1
- packaging ==23.2
- pandas ==2.1.2
- pexpect ==4.9.0
- psycopg ==3.1.12
- ptyprocess ==0.7.0
- pyparsing ==3.1.1
- python-daemon ==3.0.1
- python-dateutil ==2.8.2
- python-dotenv ==1.0.0
- pytz ==2023.3.post1
- requests ==2.28.1
- schedule ==1.2.1
- scikit-learn ==1.3.2
- scipy ==1.11.4
- six ==1.16.0
- sympy ==1.12
- threadpoolctl ==3.2.0
- torch ==2.1.1
- torchaudio ==2.1.1
- torchvision ==0.16.1
- typing_extensions ==4.8.0
- tzdata ==2023.3
- urllib3 ==1.26.13