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requirements.txt
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requirements.txt
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# 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=0.9.0=py37_0
astor=0.7.1=py_0
binutils_impl_linux-64=2.33.1=he1b5a44_7
binutils_linux-64=2.33.1=h9595d00_16
blas=1.0=mkl
blinker=1.4=py_1
c-ares=1.15.0=h516909a_1001
ca-certificates=2019.11.28=hecc5488_0
cachetools=3.1.1=py_0
certifi=2019.11.28=py37_0
cffi=1.13.2=py37h2e261b9_0
chardet=3.0.4=py37_1003
click=7.0=py_0
cryptography=2.8=py37h72c5cf5_1
cudatoolkit=10.0.130=0
cycler=0.10.0=py_2
dbus=1.13.6=he372182_0
expat=2.2.9=he1b5a44_2
fontconfig=2.13.1=he4413a7_1000
freetype=2.9.1=h8a8886c_1
gast=0.2.2=py_0
gcc_impl_linux-64=7.3.0=habb00fd_1
gcc_linux-64=7.3.0=h553295d_16
gettext=0.19.8.1=hc5be6a0_1002
glib=2.58.3=py37h6f030ca_1002
google-auth=1.11.2=py_0
google-auth-oauthlib=0.4.1=py_2
google-pasta=0.1.8=py_0
grpcio=1.27.2=py37hf8bcb03_0
gst-plugins-base=1.14.5=h0935bb2_1
gstreamer=1.14.5=h36ae1b5_1
gxx_impl_linux-64=7.3.0=hdf63c60_1
gxx_linux-64=7.3.0=h553295d_16
h5py=2.10.0=nompi_py37h513d04c_102
hdf5=1.10.5=nompi_h3c11f04_1104
icu=58.2=hf484d3e_1000
idna=2.9=py_1
intel-openmp=2019.4=243
jpeg=9b=h024ee3a_2
keras=2.3.1=py37_0
keras-applications=1.0.8=py_1
keras-preprocessing=1.1.0=py_0
kiwisolver=1.1.0=py37hc9558a2_0
ld_impl_linux-64=2.33.1=h53a641e_7
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
libgpuarray=0.7.6=h14c3975_1003
libiconv=1.15=h516909a_1005
libpng=1.6.37=hbc83047_0
libprotobuf=3.11.4=h8b12597_0
libstdcxx-ng=9.1.0=hdf63c60_0
libtiff=4.1.0=h2733197_0
libuuid=2.32.1=h14c3975_1000
libxcb=1.13=h14c3975_1002
libxml2=2.9.9=hea5a465_1
mako=1.1.0=py_0
markdown=3.2.1=py_0
markupsafe=1.1.1=py37h516909a_0
matplotlib=3.1.2=py37_1
matplotlib-base=3.1.2=py37hef1b27d_1
mkl=2019.4=243
mkl-service=2.3.0=py37he904b0f_0
mkl_fft=1.0.15=py37ha843d7b_0
mkl_random=1.1.0=py37hd6b4f25_0
ncurses=6.1=he6710b0_1
ninja=1.9.0=py37hfd86e86_0
numpy=1.18.1=py37h4f9e942_0
numpy-base=1.18.1=py37hde5b4d6_1
oauthlib=3.0.1=py_0
olefile=0.46=py37_0
openssl=1.1.1d=h516909a_0
opt_einsum=3.1.0=py_0
pandas=1.0.0=py37h0573a6f_0
pcre=8.43=he1b5a44_0
pillow=6.0.0=py37h34e0f95_0
pip=20.0.2=py37_1
protobuf=3.11.4=py37he1b5a44_0
pthread-stubs=0.4=h14c3975_1001
pyasn1=0.4.8=py_0
pyasn1-modules=0.2.7=py_0
pycparser=2.19=py37_0
pygpu=0.7.6=py37hc1659b7_1000
pyjwt=1.7.1=py_0
pyopenssl=19.1.0=py_1
pyparsing=2.4.6=py_0
pyqt=5.9.2=py37hcca6a23_4
pysocks=1.7.1=py37_0
python=3.7.6=h0371630_2
python-dateutil=2.8.1=py_0
pytz=2019.3=py_0
pyyaml=5.3=py37h516909a_0
qt=5.9.7=h5867ecd_1
readline=7.0=h7b6447c_5
requests=2.23.0=py37_0
requests-oauthlib=1.2.0=py_0
rsa=4.0=py_0
scipy=1.4.1=py37h0b6359f_0
setuptools=45.1.0=py37_0
sip=4.19.8=py37hf484d3e_0
six=1.14.0=py37_0
sqlite=3.30.1=h7b6447c_0
tensorboard=2.1.0=py3_0
tensorflow=2.1.0=mkl_py37h80a91df_0
tensorflow-base=2.1.0=mkl_py37h6d63fb7_0
tensorflow-estimator=2.1.0=pyhd54b08b_0
termcolor=1.1.0=py_2
theano=1.0.4=py37he1b5a44_1001
tk=8.6.8=hbc83047_0
tornado=6.0.3=py37h516909a_0
urllib3=1.25.7=py37_0
werkzeug=1.0.0=py_0
wheel=0.34.1=py37_0
wrapt=1.12.0=py37h516909a_0
xorg-libxau=1.0.9=h14c3975_0
xorg-libxdmcp=1.1.3=h516909a_0
xz=5.2.4=h14c3975_4
yaml=0.2.2=h516909a_1
zlib=1.2.11=h7b6447c_3
zstd=1.3.7=h0b5b093_0