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GitHub / LConann / Federated-Edge-AI-For-6G
Federated Learning and 6G Project
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LConann%2FFederated-Edge-AI-For-6G
Stars: 1
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 16.4 MB
Dependencies:
53
Created: 4 months ago
Updated: 3 months ago
Last pushed: about 1 month ago
Last synced: about 1 month ago
Topics: 6g, federated-learning, oops-in-python, reconfigurable-intelligent-surfaces
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Dependencies
requirements.txt
pypi
- Jinja2 ==3.1.3
- MarkupSafe ==2.1.4
- black ==24.1.1
- certifi ==2023.11.17
- charset-normalizer ==3.3.2
- click ==8.1.7
- contourpy ==1.2.0
- cssselect ==1.2.0
- cycler ==0.12.1
- filelock ==3.13.1
- fonttools ==4.47.2
- fsspec ==2023.12.2
- idna ==3.6
- isort ==5.13.2
- joblib ==1.3.2
- kiwisolver ==1.4.5
- leaf ==1.0.7
- lxml ==5.1.0
- matplotlib ==3.8.2
- mpmath ==1.3.0
- mypy-extensions ==1.0.0
- networkx ==3.2.1
- numpy ==1.26.3
- nvidia-cublas-cu12 ==12.1.3.1
- nvidia-cuda-cupti-cu12 ==12.1.105
- nvidia-cuda-nvrtc-cu12 ==12.1.105
- nvidia-cuda-runtime-cu12 ==12.1.105
- nvidia-cudnn-cu12 ==8.9.2.26
- nvidia-cufft-cu12 ==11.0.2.54
- nvidia-curand-cu12 ==10.3.2.106
- nvidia-cusolver-cu12 ==11.4.5.107
- nvidia-cusparse-cu12 ==12.1.0.106
- nvidia-nccl-cu12 ==2.18.1
- nvidia-nvjitlink-cu12 ==12.3.101
- nvidia-nvtx-cu12 ==12.1.105
- packaging ==23.2
- pathspec ==0.12.1
- pillow ==10.2.0
- platformdirs ==4.2.0
- pyparsing ==3.1.1
- python-dateutil ==2.8.2
- requests ==2.31.0
- scikit-learn ==1.4.0
- scipy ==1.12.0
- six ==1.16.0
- sympy ==1.12
- threadpoolctl ==3.2.0
- tomli ==2.0.1
- torch ==2.1.2
- torchvision ==0.16.2
- triton ==2.1.0
- typing_extensions ==4.9.0
- urllib3 ==2.1.0