requirements.txt

# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_libgcc_mutex=0.1=main
_tflow_select=2.1.0=gpu
absl-py=0.7.1=py37_0
astor=0.8.0=py37_0
blas=1.0=mkl
c-ares=1.15.0=h7b6447c_1001
ca-certificates=2019.5.15=1
certifi=2019.6.16=py37_1
chardet=3.0.4=pypi_0
cudatoolkit=10.1.168=0
cudnn=7.6.0=cuda10.1_0
cupti=10.1.168=0
freetype=2.9.1=h8a8886c_1
gast=0.2.2=py37_0
google-pasta=0.1.7=py_0
grpcio=1.16.1=py37hf8bcb03_1
h5py=2.9.0=py37h7918eee_0
hdf5=1.10.4=hb1b8bf9_0
idna=2.8=pypi_0
intel-openmp=2019.4=243
joblib=0.13.2=py37_0
jpeg=9b=habf39ab_1
keras=2.2.4=0
keras-applications=1.0.8=py_0
keras-base=2.2.4=py37_0
keras-preprocessing=1.1.0=py_1
libedit=3.1.20181209=hc058e9b_0
libffi=3.2.1=hd88cf55_4
libgcc-ng=9.1.0=hdf63c60_0
libgfortran-ng=7.3.0=hdf63c60_0
libpng=1.6.37=hbc83047_0
libprotobuf=3.8.0=hd408876_0
libstdcxx-ng=9.1.0=hdf63c60_0
libtiff=4.0.10=h2733197_2
markdown=3.1.1=py37_0
mkl=2019.4=243
mkl-service=2.0.2=py37h7b6447c_0
mkl_fft=1.0.12=py37ha843d7b_0
mkl_random=1.0.2=py37hd81dba3_0
ncurses=6.1=he6710b0_1
numpy=1.16.4=py37h7e9f1db_0
numpy-base=1.16.4=py37hde5b4d6_0
olefile=0.46=py37_0
openssl=1.1.1=h7b6447c_0
pandas=0.25.0=py37he6710b0_0
pillow=6.2.2=py37h34e0f95_0
pip=19.1.1=py37_0
protobuf=3.8.0=py37he6710b0_0
pycorenlp=0.3.0=pypi_0
python=3.7.3=h0371630_0
python-dateutil=2.8.0=py37_0
pytz=2019.1=py_0
pyyaml=5.1.1=py37h7b6447c_0
readline=7.0=h7b6447c_5
requests=2.22.0=pypi_0
scikit-learn=0.21.2=py37hd81dba3_0
scipy=1.3.0=py37h7c811a0_0
setuptools=41.0.1=py37_0
six=1.12.0=py37_0
sqlite=3.29.0=h7b6447c_0
tensorboard=1.16.0=py37hf484d3e_0
tensorflow=1.16.0=gpu_py37h74c33d7_0
tensorflow-base=1.16.0=gpu_py37he45bfe2_0
tensorflow-estimator=1.16.0=py_0
tensorflow-gpu=1.16.0=h0d30ee6_0
termcolor=1.1.0=py37_1
tk=8.6.8=hbc83047_0
urllib3=1.25.3=pypi_0
werkzeug=0.15.4=py_0
wheel=0.33.4=py37_0
wrapt=1.11.2=py37h7b6447c_0
xz=5.2.4=h14c3975_4
yaml=0.1.7=had09818_2
zlib=1.2.11=h7b6447c_3
zstd=1.3.7=h0b5b093_0