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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=2.3.0=mkl
absl-py=0.2.2=py36_0
asn1crypto=0.24.0=py36_0
astor=0.6.2=py36_1
astroid=2.2.5=py36_0
attrs=19.1.0=py36_1
backcall=0.1.0=py36_0
blas=1.0=mkl
bleach=1.5.0=py36_0
boost=1.67.0=py36_4
boto=2.48.0=py36_1
boto3=1.9.82=py_0
botocore=1.12.130=py_0
bz2file=0.98=py36_1
ca-certificates=2019.1.23=0
caffe=1.0=py36he774522_0
certifi=2019.3.9=py36_0
cffi=1.12.2=py36h7a1dbc1_1
chardet=3.0.4=py36_1
cloudpickle=0.8.0=py36_0
colorama=0.4.1=py36_0
cryptography=2.6.1=py36h7a1dbc1_0
cudatoolkit=9.0=1
cycler=0.10.0=py36h009560c_0
cymem=1.31.2=py36he980bc4_0
cython=0.28.3=py36hfa6e2cd_0
cytoolz=0.9.0.1=py36hfa6e2cd_1
dask-core=1.1.5=py_0
decorator=4.4.0=py36_1
defusedxml=0.5.0=py36_1
dill=0.2.9=py36_0
docutils=0.14=py36h6012d8f_0
dotmap=1.2.20=py_0
emoji=0.5.1=pypi_0
en-core-web-lg=2.0.0=pypi_0
en-core-web-sm=2.0.0=pypi_0
entrypoints=0.3=py36_0
freetype=2.9.1=ha9979f8_1
gast=0.2.0=py36_0
gensim=3.4.0=py36hfa6e2cd_0
gflags=2.2.2=ha925a31_0
git=2.20.1=h6bb4b03_0
glog=0.3.5=h6538335_1
graphviz=2.38=hfd603c8_2
grpcio=1.12.0=py36h1a1b453_0
h5py=2.8.0=py36hf7173ca_2
hdf5=1.8.20=hac2f561_1
html5lib=0.9999999=py36_0
icc_rt=2019.0.0=h0cc432a_1
icu=58.2=ha66f8fd_1
idna=2.6=py36_1
imageio=2.5.0=py36_0
intel-openmp=2019.3=intel_203
intelpython=2019.3=0
ipykernel=5.1.0=py36h39e3cac_0
ipython=7.4.0=py36h39e3cac_0
ipython_genutils=0.2.0=py36h3c5d0ee_0
ipywidgets=7.4.2=py36_0
isort=4.3.16=py36_0
jedi=0.13.3=py36_0
jinja2=2.10=py36_0
jmespath=0.9.3=py36_0
joblib=0.13.2=pypi_0
jpeg=9b=hb83a4c4_2
jsonschema=3.0.1=py36_0
jupyter=1.0.0=py36_7
jupyter_client=5.2.4=py36_0
jupyter_console=6.0.0=py36_0
jupyter_core=4.4.0=py36_0
keras=2.1.6=py36_0
keras-applications=1.0.7=py_0
keras-preprocessing=1.0.9=py_0
kiwisolver=1.0.1=py36h6538335_0
lazy-object-proxy=1.3.1=py36hfa6e2cd_2
libboost=1.67.0=hfd51bdf_4
libmklml=2019.0.3=0
libopencv=3.4.2=h20b85fd_0
libpng=1.6.36=h2a8f88b_0
libprotobuf=3.5.2=he0781b1_0
libsodium=1.0.16=h9d3ae62_0
libtiff=4.0.10=hb898794_2
lmdb=0.9.23=ha925a31_0
m2w64-gcc-libgfortran=5.3.0=6
m2w64-gcc-libs=5.3.0=7
m2w64-gcc-libs-core=5.3.0=7
m2w64-gmp=6.1.0=2
m2w64-libwinpthread-git=5.0.0.4634.697f757=2
markdown=2.6.11=py36_0
markupsafe=1.1.1=py36he774522_0
matplotlib=3.0.1=py36hc8f65d3_0
mccabe=0.6.1=py36_1
mistune=0.8.4=py36he774522_0
mkl=2019.3=203
mkl_fft=1.0.10=py36h14836fe_0
mkl_random=1.0.2=py36h343c172_0
mock=2.0.0=py36h9086845_0
msgpack-numpy=0.4.3.2=py36_0
msgpack-python=0.5.6=py36he980bc4_1
msys2-conda-epoch=20160418=1
murmurhash=0.28.0=py36he025d50_0
nbconvert=5.4.1=py36_3
nbformat=4.4.0=py36h3a5bc1b_0
networkx=2.2=py36_1
ninja=1.9.0=py36h74a9793_0
nltk=3.3.0=py36_0
notebook=5.7.7=py36_0
numpy=1.16.2=py36h19fb1c0_0
numpy-base=1.16.2=py36hc3f5095_0
olefile=0.46=py36_0
openmp=2018.0.3=intel_0
openssl=1.1.1b=he774522_1
pandas=0.23.4=py36h830ac7b_0
pandoc=2.2.3.2=0
pandocfilters=1.4.2=py36_1
parso=0.3.4=py36_0
pbr=5.1.3=py_0
pickleshare=0.7.5=py36_0
pillow=5.4.1=py36hdc69c19_0
pip=18.1=py36_0
plac=0.9.6=py36_0
preshed=1.0.1=py36he025d50_0
prometheus_client=0.6.0=py36_0
prompt_toolkit=2.0.9=py36_0
protobuf=3.5.2=py36h6538335_1
py-boost=1.67.0=py36h8300f20_4
pycparser=2.19=py36_0
pydotplus=2.0.2=py36_1
pygments=2.3.1=py36_0
pylint=2.3.1=py36_0
pyopenssl=19.0.0=py36_0
pyparsing=2.3.1=py36_0
pyphen=0.9.5=pypi_0
pyqt=5.9.2=py36h6538335_2
pyreadline=2.1=py36_1
pyrsistent=0.14.11=py36he774522_0
pysocks=1.6.8=py36_0
python=3.6.8=h9f7ef89_7
python-dateutil=2.7.3=py36_0
pytz=2018.9=py36_0
pywavelets=1.0.2=py36h8c2d366_0
pywinpty=0.5.5=py36_1000
pyyaml=3.12=py36hfa6e2cd_1
pyzmq=18.0.0=py36ha925a31_0
qt=5.9.7=vc14h73c81de_0
qtconsole=4.4.3=py36_0
regex=2018.07.11=py36hfa6e2cd_0
requests=2.18.4=py36h4371aae_1
s3transfer=0.1.13=py36_0
scikit-image=0.14.2=py36ha925a31_0
scikit-learn=0.20.1=py36h343c172_0
scipy=1.1.0=py36h29ff71c_2
send2trash=1.5.0=py36_0
setuptools=40.8.0=py36_0
sip=4.19.8=py36h6538335_0
six=1.11.0=py36_1
smart_open=1.5.7=py36_0
spacy=2.0.12=py36h8300f20_0
sqlite=3.27.2=he774522_0
tbb=2019.4=h74a9793_0
tbb4py=2019.4=py36h74a9793_0
tensorboard=1.8.0=py36he025d50_0
tensorflow=1.8.0=0
tensorflow-base=1.8.0=py36h1a1b453_0
tensorflow-estimator=1.13.0=py_0
termcolor=1.1.0=py36_1
terminado=0.8.1=py36_1
testpath=0.4.2=py36_0
thinc=6.10.3=py36h8300f20_0
tk=8.6.8=hfa6e2cd_0
toolz=0.9.0=py36_0
torchsample=0.1.3=dev_0
tornado=6.0.2=py36he774522_0
tqdm=4.23.4=py36_0
traitlets=4.3.2=py36h096827d_0
typed-ast=1.3.1=py36he774522_0
ujson=1.35=py36hfa6e2cd_0
urllib3=1.22=py36h276f60a_0
vc=14.1=h21ff451_3
vs2015_runtime=15.5.2=3
wcwidth=0.1.7=py36h3d5aa90_0
webencodings=0.5.1=py36_1
werkzeug=0.14.1=py36_0
wheel=0.33.1=py36_0
widgetsnbextension=3.4.2=py36_0
win_inet_pton=1.1.0=py36_0
wincertstore=0.2=py36h7fe50ca_0
winpty=0.4.3=4
word2vec=0.9.4=py36h452e1ab_0
wordsegment=1.3.1=pypi_0
wrapt=1.10.11=py36hfa6e2cd_2
xz=5.2.4=h2fa13f4_4
yaml=0.1.7=hc54c509_2
zeromq=4.3.1=h33f27b4_3
zlib=1.2.11=h62dcd97_3
zstd=1.3.7=h508b16e_0