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GitHub / GiorgosChr / MacOS-M3-Conda-Environment
A conda environment setup for high energy physics, data analysis and machine learning with TensorFlow and PyTorch compatible with MacOS M3
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GiorgosChr%2FMacOS-M3-Conda-Environment
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Shell
Repo Size: 2.93 KB
Dependencies:
54
Created: about 2 months ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago
Topics: data-analysis, m1-mac, machine-learning, macos, ml, particle-physics, pytorch, tensorflow
Files
Dependencies
- absl-py ==2.1.0
- astunparse ==1.6.3
- boost-histogram *
- certifi ==2024.2.2
- charset-normalizer ==3.3.2
- contourpy ==1.2.0
- cycler ==0.12.1
- flatbuffers ==24.3.25
- fonttools ==4.50.0
- gast ==0.5.4
- google-pasta ==0.2.0
- grpcio ==1.62.1
- h5py ==3.10.0
- idna ==3.6
- joblib ==1.3.2
- keras ==3.1.1
- kiwisolver ==1.4.5
- libclang ==18.1.1
- markdown ==3.6
- markdown-it-py ==3.0.0
- markupsafe ==2.1.5
- matplotlib ==3.8.3
- mdurl ==0.1.2
- ml-dtypes ==0.3.2
- mplhep *
- namex ==0.0.7
- numpy ==1.26.4
- opt-einsum ==3.3.0
- optree ==0.11.0
- pandas ==2.2.1
- particle *
- pillow ==10.2.0
- protobuf ==4.25.3
- pylorentz ==0.3.3
- pyparsing ==3.1.2
- python-dateutil ==2.9.0.post0
- pytz ==2024.1
- requests ==2.31.0
- rich ==13.7.1
- scienceplots ==2.1.0
- scikit-learn ==1.4.1.post1
- scipy ==1.12.0
- tensorboard ==2.16.2
- tensorboard-data-server ==0.7.2
- tensorflow ==2.16.1
- tensorflow-io-gcs-filesystem ==0.36.0
- tensorflow-metal ==1.1.0
- termcolor ==2.4.0
- threadpoolctl ==3.4.0
- tqdm ==4.66.2
- tzdata ==2024.1
- urllib3 ==2.2.1
- werkzeug ==3.0.1
- wrapt ==1.16.0