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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: win-64
_tflow_select=2.1.0=gpu
absl-py=0.7.0=py36_0
astor=0.7.1=py36_0
backcall=0.1.0=py36_0
blas=1.0=mkl
ca-certificates=2019.8.28=0
certifi=2019.9.11=py36_0
chardet=3.0.4=pypi_0
cloudpickle=1.2.2=py_0
colorama=0.4.1=py36_0
cudatoolkit=10.0.130=0
cudnn=7.3.1=cuda10.0_0
cycler=0.10.0=py36h009560c_0
cytoolz=0.10.0=py36he774522_0
dask-core=2.4.0=py_0
decorator=4.4.0=py36_1
easydict=1.9=pypi_0
freetype=2.9.1=ha9979f8_1
gast=0.2.2=py36_0
google-pasta=0.1.7=pypi_0
grpcio=1.16.1=py36h351948d_1
h5py=2.9.0=py36h5e291fa_0
hdf5=1.10.4=h7ebc959_0
icc_rt=2019.0.0=h0cc432a_1
icu=58.2=ha66f8fd_1
idna=2.6=pypi_0
imageio=2.5.0=py36_0
intel-openmp=2019.3=203
ipykernel=5.1.0=py36h39e3cac_0
ipython=7.4.0=py36h39e3cac_0
ipython_genutils=0.2.0=py36h3c5d0ee_0
jedi=0.13.3=py36_0
joblib=0.13.2=py36_0
jpeg=9b=hb83a4c4_2
jupyter_client=5.2.4=py36_0
jupyter_core=4.4.0=py36_0
keras-applications=1.0.8=py_0
keras-preprocessing=1.1.0=py_1
kiwisolver=1.0.1=py36h6538335_0
libpng=1.6.36=h2a8f88b_0
libprotobuf=3.6.1=h7bd577a_0
libsodium=1.0.16=h9d3ae62_0
libtiff=4.0.10=hb898794_2
markdown=3.0.1=py36_0
matplotlib=3.0.3=py36hc8f65d3_0
mkl=2019.4=245
mkl-service=2.0.2=py36he774522_0
mkl_fft=1.0.10=py36h14836fe_0
mkl_random=1.0.2=py36h343c172_0
mock=2.0.0=py36h9086845_0
mxnet=1.4.1=pypi_0
networkx=2.3=py_0
numpy=1.16.2=py36h19fb1c0_0
numpy-base=1.16.2=py36hc3f5095_0
olefile=0.46=py36_0
openssl=1.1.1d=he774522_0
pandas=0.24.2=py36ha925a31_0
parso=0.3.4=py36_0
pbr=5.1.3=py_0
pickleshare=0.7.5=py36_0
pillow=6.1.0=py36hdc69c19_0
pip=19.0.3=py36_0
prompt_toolkit=2.0.9=py36_0
protobuf=3.6.1=py36h33f27b4_0
pygments=2.3.1=py36_0
pyparsing=2.3.1=py36_0
pyqt=5.9.2=py36h6538335_2
pyreadline=2.1=py36_1
python=3.6.8=h9f7ef89_7
python-dateutil=2.8.0=py36_0
python-graphviz=0.8.4=pypi_0
pytz=2018.9=py36_0
pywavelets=1.0.3=py36h8c2d366_1
pyzmq=18.0.0=py36ha925a31_0
qt=5.9.7=vc14h73c81de_0
requests=2.18.4=pypi_0
scikit-image=0.15.0=py36ha925a31_0
scikit-learn=0.21.2=py36h6288b17_0
scipy=1.2.1=py36h29ff71c_0
setuptools=41.0.1=py36_0
sip=4.19.8=py36h6538335_0
six=1.12.0=py36_0
sqlite=3.27.2=he774522_0
tensorboard=1.13.1=py36h33f27b4_0
tensorflow=1.13.1=gpu_py36h9006a92_0
tensorflow-base=1.13.1=gpu_py36h871c8ca_0
tensorflow-estimator=1.13.0=py_0
tensorflow-gpu=1.13.1=h0d30ee6_0
termcolor=1.1.0=py36_1
tk=8.6.8=hfa6e2cd_0
toolz=0.10.0=py_0
tornado=6.0.2=py36he774522_0
tqdm=4.36.1=py_0
traitlets=4.3.2=py36h096827d_0
urllib3=1.22=pypi_0
vc=14.1=h0510ff6_4
vs2015_runtime=14.16.27012=hf0eaf9b_0
wcwidth=0.1.7=py36h3d5aa90_0
werkzeug=0.14.1=py36_0
wheel=0.33.1=py36_0
wincertstore=0.2=py36h7fe50ca_0
wrapt=1.11.2=pypi_0
xz=5.2.4=h2fa13f4_4
zeromq=4.3.1=h33f27b4_3
zlib=1.2.11=h62dcd97_3
zstd=1.3.7=h508b16e_0