requirements.conda.delft.cpu.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=2.3.0=mkl
absl-py=0.7.1=py36_0
astor=0.7.1=py36_0
blas=1.0=mkl
c-ares=1.15.0=h7b6447c_1
ca-certificates=2019.5.15=0
certifi=2019.6.16=py36_0
gast=0.2.2=py36_0
google-pasta=0.1.7=py_0
grpcio=1.16.1=py36hf8bcb03_1
h5py=2.9.0=py36h7918eee_0
hdf5=1.10.4=hb1b8bf9_0
intel-openmp=2019.4=243
jep=3.8.2=pypi_0
joblib=0.13.2=pypi_0
keras=2.2.4=0
keras-applications=1.0.8=py_0
keras-base=2.2.4=py36_0
keras-bert=0.70.1=pypi_0
keras-embed-sim=0.7.0=pypi_0
keras-layer-normalization=0.12.0=pypi_0
keras-multi-head=0.20.0=pypi_0
keras-pos-embd=0.11.0=pypi_0
keras-position-wise-feed-forward=0.6.0=pypi_0
keras-preprocessing=1.1.0=py_1
keras-self-attention=0.41.0=pypi_0
keras-transformer=0.29.0=pypi_0
libedit=3.1.20181209=hc058e9b_0
libffi=3.2.1=hd88cf55_4
libgcc=7.2.0=h69d50b8_2
libgcc-ng=9.1.0=hdf63c60_0
libgfortran-ng=7.3.0=hdf63c60_0
libprotobuf=3.8.0=hd408876_0
libstdcxx-ng=9.1.0=hdf63c60_0
markdown=3.1.1=py36_0
mkl=2019.4=243
mkl_fft=1.0.12=py36ha843d7b_0
mkl_random=1.0.2=py36hd81dba3_0
mock=3.0.5=py36_0
ncurses=6.1=he6710b0_1
numpy=1.16.4=py36h7e9f1db_0
numpy-base=1.16.4=py36hde5b4d6_0
openssl=1.1.1c=h7b6447c_1
pip=19.1.1=py36_0
protobuf=3.8.0=py36he6710b0_0
python=3.6.8=h0371630_0
python-lmdb=0.94=py36h14c3975_0
pyyaml=5.1.1=py36h7b6447c_0
readline=7.0=h7b6447c_5
regex=2019.06.05=py36h7b6447c_0
scikit-learn=0.21.2=pypi_0
scipy=1.2.1=py36h7c811a0_0
setuptools=41.0.1=py36_0
six=1.12.0=py36_0
sklearn=0.0=pypi_0
sqlite=3.29.0=h7b6447c_0
tensorboard=1.12.2=py36he6710b0_0
tensorflow=1.12.0=mkl_py36h69b6ba0_0
tensorflow-base=1.12.0=mkl_py36h3c3e929_0
tensorflow-estimator=1.13.0=py_0
termcolor=1.1.0=py36_1
tk=8.6.8=hbc83047_0
tqdm=4.32.1=py_0
werkzeug=0.15.4=py_0
wheel=0.33.4=py36_0
wrapt=1.11.2=py36h7b6447c_0
xz=5.2.4=h14c3975_4
yaml=0.1.7=had09818_2
zlib=1.2.11=h7b6447c_3