environment.yml

name: vidhop
channels:
  - bioconda
  - conda-forge
  - defaults
dependencies:
  - absl-py=0.7.1=py37_0
  - astor=0.7.1=py_0
  - binutils_impl_linux-64=2.31.1=h6176602_1
  - binutils_linux-64=2.31.1=h6176602_3
  - bzip2=1.0.6=h14c3975_1002
  - c-ares=1.15.0=h14c3975_1001
  - ca-certificates=2019.3.9=hecc5488_0
  - certifi=2019.3.9=py37_0
  - click=7.0=py_0
  - gast=0.2.2=py_0
  - gcc_impl_linux-64=7.3.0=habb00fd_1
  - gcc_linux-64=7.3.0=h553295d_3
  - grpcio=1.16.1=py37hf8bcb03_1
  - gxx_impl_linux-64=7.3.0=hdf63c60_1
  - gxx_linux-64=7.3.0=h553295d_3
  - h5py=2.9.0=nompi_py37hf008753_1102
  - hdf5=1.10.4=nompi_h3c11f04_1106
  - keras=2.2.4=py37_1
  - keras-applications=1.0.7=py_1
  - keras-preprocessing=1.0.9=py_1
  - libblas=3.8.0=8_openblas
  - libcblas=3.8.0=8_openblas
  - libffi=3.2.1=he1b5a44_1006
  - libgcc-ng=8.2.0=hdf63c60_1
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libgpuarray=0.7.6=h14c3975_1003
  - liblapack=3.8.0=8_openblas
  - libprotobuf=3.7.1=h8b12597_0
  - libstdcxx-ng=8.2.0=hdf63c60_1
  - mako=1.0.7=py_1
  - markdown=2.6.11=py_0
  - markupsafe=1.1.1=py37h14c3975_0
  - mock=3.0.3=py37_0
  - ncurses=6.1=hf484d3e_1002
  - numpy=1.16.3=py37he5ce36f_0
  - openblas=0.3.6=h6e990d7_1
  - openssl=1.1.1b=h14c3975_1
  - pip=19.1=py37_0
  - protobuf=3.7.1=py37he1b5a44_0
  - pygpu=0.7.6=py37h3010b51_1000
  - python=3.7.3=h5b0a415_0
  - pyyaml=5.1=py37h14c3975_0
  - readline=7.0=hf8c457e_1001
  - scikit-learn=0.20.3=py37ha8026db_1
  - scipy=1.2.1=py37h09a28d5_1
  - setuptools=41.0.1=py37_0
  - six=1.12.0=py37_1000
  - sqlite=3.26.0=h67949de_1001
  - tensorboard=1.13.1=py37_0
  - tensorflow=1.13.1=py37_0
  - tensorflow-estimator=1.13.0=py_0
  - termcolor=1.1.0=py_2
  - theano=1.0.4=py37hf484d3e_1000
  - tk=8.6.9=h84994c4_1001
  - werkzeug=0.15.2=py_0
  - wheel=0.33.1=py37_0
  - xz=5.2.4=h14c3975_1001
  - yaml=0.1.7=h14c3975_1001
  - zlib=1.2.11=h14c3975_1004
prefix: /home/go96bix/programs/conda/envs/vidhop2