environment.yml

name: ml
channels:
  - defaults
dependencies:
  - python=3.7
  - matplotlib
  - numpy
  - seaborn
  - pandas
  - cudatoolkit
  - torchvision
  - pytorch
  - torchaudio
  - ipython
  - ipykernel
  - captum
  - tensorboard
  - scikit-learn
  - xgboost
  - imbalanced-learn
  - pyspark
  - pylint
  - sympy
  - scikit-bio
  - treelib
  - pip :
    aiohttp                3.8.1
    antlr4-python3-runtime 4.9
    awscli                 1.25.82
    blinker                1.4
    Bottleneck             1.3.5
    brotlipy               0.7.0
    captum                 0.5.0
    deepsparse             1.1.0
    factor-analyzer        0.4.1
    gmpy2                  2.1.2
    imbalanced-learn       0.7.0
    jupyter-repo2docker    2022.10.0
    kaggle                 1.5.12
    lifelines              0.27.3
    mkl-fft                1.3.1
    mkl-random             1.2.2
    mkl-service            2.4.0
    munkres                1.1.4
    pip                    22.3
    pipreqs                0.4.11
    pyarrow                8.0.0
    pyensae                1.3.946
    PyJWT                  2.4.0
    pylint                 2.14.5
    pyOpenSSL              22.0.0
    PyQt5-sip              12.11.0
    PySocks                1.7.1
    pyspark                3.1.2
    pytest                 7.1.2
    python-dotenv          0.21.0
    ratinabox              0.1
    scikit-bio             0.5.6
    scikit-survival        0.17.2
    seaborn                0.11.2
    semopy                 2.3.9
    Shapely                1.8.4
    sip                    6.6.2
    sparseml               1.1.1
    synapseclient          2.7.0
    tensorboard            2.10.0
    torchaudio             0.12.1
    torchvision            0.13.1
    treelib                1.6.1
    tzlocal                4.2
    xgboost                1.5.0

prefix: /home/tristan/anaconda3/envs/ml