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requirements.txt
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requirements.txt
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#
# This file is autogenerated by pip-compile
# To update, run:
#
# pip-compile --output-file requirements.txt --no-index requirements.in
#
absl-py==0.7.0 # via tensorboard, tensorflow, tensorflow-estimator
aniso8601==6.0.0 # via flask-restplus
astor==0.7.1 # via tensorflow
attrs==19.1.0 # via jsonschema
backcall==0.1.0 # via ipython
bleach==3.1.0 # via nbconvert
boto3==1.9.112 # via s3fs
botocore==1.12.112 # via boto3, s3fs, s3transfer
click==7.0 # via flask
cloudpickle==0.8.0
cycler==0.10.0 # via matplotlib
dask[array]==1.1.4 # via scikit-image
decorator==4.3.2 # via ipython, networkx, traitlets
defusedxml==0.5.0 # via nbconvert
dill==0.2.9
docutils==0.14 # via botocore
entrypoints==0.3 # via nbconvert
flask-restplus==0.12.1
flask==1.0.2
gast==0.2.2 # via tensorflow
grpcio==1.19.0 # via tensorboard, tensorflow
h5py==2.9.0
ipykernel==5.1.0 # via ipywidgets, notebook
ipython-genutils==0.2.0 # via nbformat, notebook, traitlets
ipython==7.3.0 # via ipykernel, ipywidgets
ipywidgets==7.4.2
itsdangerous==1.1.0 # via flask
jedi==0.13.3 # via ipython
jinja2==2.10 # via flask, nbconvert, notebook
jmespath==0.9.4 # via boto3, botocore
joblib==0.13.2
jsonschema==3.0.1 # via flask-restplus, nbformat
jupyter-client==5.2.4 # via ipykernel, notebook
jupyter-core==4.4.0 # via jupyter-client, nbconvert, nbformat, notebook
keras-applications==1.0.7 # via tensorflow
keras-preprocessing==1.0.9 # via tensorflow
kiwisolver==1.0.1 # via matplotlib
llvmlite==0.27.1 # via numba
markdown==3.0.1 # via tensorboard
markupsafe==1.1.1 # via jinja2
matplotlib==3.0.3
mistune==0.8.4 # via nbconvert
mock==2.0.0 # via tensorflow-estimator
mpmath==1.1.0 # via sympy
natsort==6.0.0
nbconvert==5.4.1 # via notebook
nbformat==4.4.0 # via ipywidgets, nbconvert, notebook
networkx==2.2 # via scikit-image
notebook==5.7.6 # via widgetsnbextension
numba==0.42.1
numexpr==2.6.9
numpy==1.16.2
pandas==0.24.1
pandocfilters==1.4.2 # via nbconvert
parso==0.3.4 # via jedi
patsy==0.5.1
pbr==5.1.3 # via mock
pexpect==4.6.0 # via ipython
pickleshare==0.7.5 # via ipython
pillow==5.4.1 # via scikit-image
prometheus-client==0.6.0 # via notebook
prompt-toolkit==2.0.9 # via ipython
protobuf==3.7.0 # via tensorboard, tensorflow
ptyprocess==0.6.0 # via pexpect, terminado
pygments==2.3.1 # via ipython, nbconvert
pyparsing==2.3.1 # via matplotlib
pyrsistent==0.14.11 # via jsonschema
python-dateutil==2.8.0 # via botocore, jupyter-client, matplotlib, pandas
pytz==2018.9 # via flask-restplus, pandas
pywavelets==1.0.2 # via scikit-image
pyzmq==18.0.1 # via jupyter-client, notebook
s3fs==0.2.0
s3transfer==0.2.0 # via boto3
scikit-image==0.14.2
scikit-learn==0.20.3
scipy==1.2.1
send2trash==1.5.0 # via notebook
six==1.12.0 # via absl-py, bleach, cycler, flask-restplus, grpcio, h5py, jsonschema, keras-preprocessing, mock, patsy, prompt-toolkit, protobuf, pyrsistent, python-dateutil, s3fs, scikit-image, tensorboard, tensorflow, tensorflow-estimator, traitlets
sqlalchemy==1.3.1
statsmodels==0.9.0
sympy==1.3
tensorboard==1.13.1 # via tensorflow
tensorflow-estimator==1.13.0 # via tensorflow
tensorflow==1.13.1
termcolor==1.1.0 # via tensorflow
terminado==0.8.1 # via notebook
testpath==0.4.2 # via nbconvert
toolz==0.9.0 # via dask
tornado==6.0.1 # via ipykernel, jupyter-client, notebook, terminado
traitlets==4.3.2 # via ipykernel, ipython, ipywidgets, jupyter-client, jupyter-core, nbconvert, nbformat, notebook
urllib3==1.24.1 # via botocore
vincent==0.4.4
wcwidth==0.1.7 # via prompt-toolkit
webencodings==0.5.1 # via bleach
werkzeug==0.14.1 # via flask, tensorboard
wheel==0.33.1 # via tensorboard, tensorflow
widgetsnbextension==3.4.2 # via ipywidgets
xlrd==1.2.0