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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=2.1.0=gpu
absl-py=0.8.0=pypi_0
astor=0.8.0=pypi_0
attrs=19.2.0=py_0
backcall=0.1.0=py_0
blas=1.0=mkl
bleach=3.1.0=py_0
bzip2=1.0.8=h516909a_1
c-ares=1.15.0=h7b6447c_1001
ca-certificates=2019.11.27=0
certifi=2019.11.28=py37_0
cudatoolkit=10.0.130=0
cudnn=7.6.5=cuda10.0_0
cupti=10.0.130=0
cycler=0.10.0=py37_0
dbus=1.13.6=he372182_0
decorator=4.4.0=py_0
defusedxml=0.6.0=py_0
entrypoints=0.3=py37_1000
expat=2.2.5=he1b5a44_1003
fontconfig=2.13.1=h86ecdb6_1001
freetype=2.10.0=he983fc9_1
gast=0.2.2=pypi_0
gettext=0.19.8.1=hc5be6a0_1002
glib=2.58.3=h6f030ca_1002
google-pasta=0.1.7=pypi_0
grpcio=1.24.1=pypi_0
gst-plugins-base=1.14.5=h0935bb2_0
gstreamer=1.14.5=h36ae1b5_0
h5py=2.10.0=pypi_0
hdf5=1.10.4=hb1b8bf9_0
icu=64.2=he1b5a44_1
intel-openmp=2019.5=281
ipykernel=5.1.2=py37h5ca1d4c_0
ipython=7.8.0=py37h5ca1d4c_0
ipython_genutils=0.2.0=py_1
ipywidgets=7.5.1=py_0
jedi=0.15.1=py37_0
jinja2=2.10.3=py_0
joblib=0.14.1=py_0
jpeg=9c=h14c3975_1001
jsonschema=3.0.2=py37_0
jupyter=1.0.0=py_2
jupyter_client=5.3.3=py37_1
jupyter_console=6.0.0=py_0
jupyter_core=4.4.0=py_0
keras-applications=1.0.8=py_0
keras-preprocessing=1.1.0=py_1
kiwisolver=1.1.0=py37he6710b0_0
libffi=3.2.1=he1b5a44_1006
libgcc-ng=9.1.0=hdf63c60_0
libgfortran-ng=7.3.0=hdf63c60_0
libiconv=1.15=h516909a_1005
libpng=1.6.37=hed695b0_0
libprotobuf=3.11.2=hd408876_0
libsodium=1.0.17=h516909a_0
libstdcxx-ng=9.1.0=hdf63c60_0
libuuid=2.32.1=h14c3975_1000
libxcb=1.13=h14c3975_1002
libxml2=2.9.9=hee79883_5
markdown=3.1.1=py37_0
markupsafe=1.1.1=py37h14c3975_0
matplotlib=3.1.2=py37_1
matplotlib-base=3.1.2=py37h250f245_1
mistune=0.8.4=py37h14c3975_1000
mkl=2019.5=281
mkl-service=2.3.0=py37he904b0f_0
mkl_fft=1.0.15=py37ha843d7b_0
mkl_random=1.1.0=py37hd6b4f25_0
nbconvert=5.6.0=py37_1
nbformat=4.4.0=py_1
ncurses=6.1=hf484d3e_1002
notebook=6.0.1=py37_0
numpy=1.17.2=pypi_0
numpy-base=1.17.4=py37hde5b4d6_0
opencv-python=4.1.1.26=pypi_0
openssl=1.1.1=h7b6447c_0
opt_einsum=3.1.0=py_0
pandas=0.25.3=py37he6710b0_0
pandoc=2.7.3=0
pandocfilters=1.4.2=py_1
parso=0.5.1=py_0
pcre=8.41=hf484d3e_1003
pexpect=4.7.0=py37_0
pickleshare=0.7.5=py37_1000
pillow=6.2.0=pypi_0
pip=19.2.3=py37_0
prometheus_client=0.7.1=py_0
prompt_toolkit=2.0.10=py_0
protobuf=3.10.0=pypi_0
pthread-stubs=0.4=h14c3975_1001
ptyprocess=0.6.0=py_1001
pygments=2.4.2=py_0
pyparsing=2.4.5=py_0
pyqt=5.9.2=py37hcca6a23_4
pyrsistent=0.15.4=py37h516909a_0
python=3.7.3=h33d41f4_1
python-dateutil=2.8.0=py_0
pytz=2019.3=py_0
pyzmq=18.1.0=py37h1768529_0
qt=5.9.7=h0c104cb_3
qtconsole=4.5.5=py_0
readline=8.0=hf8c457e_0
scikit-learn=0.22=py37hd81dba3_0
scipy=1.3.2=py37h7c811a0_0
send2trash=1.5.0=py_0
setuptools=41.2.0=py37_0
sip=4.19.8=py37hf484d3e_1000
six=1.12.0=pypi_0
sqlite=3.30.0=hcee41ef_0
tensorboard=2.0.0=pyhb38c66f_1
tensorflow=2.0.0=gpu_py37h768510d_0
tensorflow-base=2.0.0=gpu_py37h0ec5d1f_0
tensorflow-estimator=2.0.0=pyh2649769_0
tensorflow-gpu=2.0.0=h0d30ee6_0
termcolor=1.1.0=pypi_0
terminado=0.8.2=py37_0
testpath=0.4.2=py_1001
tk=8.6.9=hed695b0_1003
tornado=6.0.3=py37h516909a_0
traitlets=4.3.3=py37_0
wcwidth=0.1.7=py_1
webencodings=0.5.1=py_1
werkzeug=0.16.0=py_0
wheel=0.33.6=py37_0
widgetsnbextension=3.5.1=py37_0
wrapt=1.11.2=py37h7b6447c_0
xorg-libxau=1.0.9=h14c3975_0
xorg-libxdmcp=1.1.3=h516909a_0
xz=5.2.4=h14c3975_1001
zeromq=4.3.2=he1b5a44_2
zlib=1.2.11=h516909a_1006