environment.yml

name: PathonetV2
channels:
  - conda-forge
  - defaults
  - bioconda
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - ca-certificates=2022.12.7=ha878542_0
  - certifi=2016.9.26=py36_0
  - cudatoolkit=10.0.130=h8c5a6a4_10
  - cudnn=7.6.5.32=ha8d7eb6_1
  - ld_impl_linux-64=2.38=h1181459_1
  - libffi=3.3=he6710b0_2
  - libgcc-ng=11.2.0=h1234567_1
  - libgomp=11.2.0=h1234567_1
  - libstdcxx-ng=11.2.0=h1234567_1
  - ncurses=6.4=h6a678d5_0
  - openssl=1.1.1l=h7f98852_0
  - pip=21.2.2=py36h06a4308_0
  - python=3.6.13=h12debd9_1
  - readline=8.2=h5eee18b_0
  - setuptools=58.0.4=py36h06a4308_0
  - sqlite=3.41.1=h5eee18b_0
  - tk=8.6.12=h1ccaba5_0
  - wheel=0.37.1=pyhd3eb1b0_0
  - xz=5.2.10=h5eee18b_1
  - zlib=1.2.13=h5eee18b_0
  - pip:
      - absl-py==1.4.0
      - astor==0.8.1
      - cached-property==1.5.2
      - charset-normalizer==2.0.12
      - cycler==0.11.0
      - dataclasses==0.8
      - decorator==4.4.2
      - gast==0.5.3
      - grpcio==1.48.2
      - h5py==2.10.0
      - idna==3.4
      - imageio==2.8.0
      - importlib-metadata==4.8.3
      - joblib==1.1.1
      - keras==2.2.4
      - keras-applications==1.0.8
      - keras-preprocessing==1.1.2
      - kiwisolver==1.3.1
      - markdown==3.3.7
      - matplotlib==3.3.4
      - mock==5.0.1
      - networkx==2.5.1
      - numpy==1.18.2
      - opencv-python==4.1.1.26
      - pandas==1.1.5
      - pillow==8.4.0
      - protobuf==3.19.6
      - pyparsing==3.0.9
      - python-dateutil==2.8.2
      - pytz==2023.2
      - pywavelets==1.1.1
      - pyyaml==6.0
      - scikit-image==0.16.2
      - scikit-learn==0.24.2
      - scipy==1.2.1
      - six==1.16.0
      - tabulate==0.8.7
      - tensorboard==1.13.1
      - tensorflow-addons==0.14.0
      - tensorflow-estimator==1.13.0
      - tensorflow-gpu==1.13.1
      - termcolor==1.1.0
      - threadpoolctl==3.1.0
      - typeguard==2.13.3
      - typing-extensions==4.1.1
      - urllib3==1.26.15
      - werkzeug==2.0.3
      - zipp==3.6.0
prefix: /home/mathiane/miniconda3/envs/PathonetV2