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requirements_linux64.txt
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requirements_linux64.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=conda_forge
_openmp_mutex=4.5=1_gnu
_tflow_select=2.3.0=mkl
absl-py=0.9.0=py37_0
astor=0.8.0=py37_0
attrs=19.3.0=pypi_0
blas=1.0=mkl
brotlipy=0.7.0=py37h5e8e339_1001
c-ares=1.15.0=h7b6447c_1001
ca-certificates=2021.7.5=h06a4308_1
certifi=2021.5.30=py37h89c1867_0
cffi=1.14.4=py37h11fe52a_0
chardet=4.0.0=py37h89c1867_1
charset-normalizer=2.0.0=pyhd8ed1ab_0
cloudpickle=1.4.0=py_0
cryptography=3.4.7=py37h5d9358c_0
cycler=0.10.0=py37_0
cytoolz=0.10.1=py37h7b6447c_0
dask-core=2.15.0=py_0
dbus=1.13.18=hb2f20db_0
decorator=4.4.2=py_0
expat=2.2.10=he6710b0_2
fire=0.3.1=pypi_0
fontconfig=2.13.1=he4413a7_1000
freetype=2.9.1=h8a8886c_1
future=0.18.2=pypi_0
gast=0.3.3=py_0
gettext=0.19.8.1=h9b4dc7a_1
glib=2.66.3=h58526e2_0
google-pasta=0.2.0=py_0
grpcio=1.16.1=py37hf8bcb03_1
gst-plugins-base=1.14.5=h0935bb2_2
gstreamer=1.14.5=h36ae1b5_2
h5py=2.10.0=py37h7918eee_0
hdf5=1.10.4=hb1b8bf9_0
icu=58.2=he6710b0_3
idna=3.2=pyhd3eb1b0_0
imageio=2.8.0=py_0
intel-openmp=2019.4=243
isort=4.3.21=pypi_0
joblib=0.14.1=pypi_0
jpeg=9b=habf39ab_1
keras=2.3.1=0
keras-applications=1.0.8=py_1
keras-base=2.3.1=py37_0
keras-preprocessing=1.1.0=py_1
kiwisolver=1.1.0=py37he6710b0_0
ld_impl_linux-64=2.35.1=hea4e1c9_2
libedit=3.1.20181209=hc058e9b_0
libffi=3.2.1=hf484d3e_1007
libgcc-ng=9.3.0=h2828fa1_18
libgfortran-ng=7.5.0=h14aa051_18
libgfortran4=7.5.0=h14aa051_18
libglib=2.66.3=hbe7bbb4_0
libgomp=9.3.0=h2828fa1_18
libiconv=1.16=h516909a_0
libpng=1.6.37=hbc83047_0
libprotobuf=3.11.4=hd408876_0
libstdcxx-ng=9.3.0=h6de172a_18
libtiff=4.1.0=h2733197_0
libuuid=2.32.1=h7f98852_1000
libxcb=1.14=h7b6447c_0
libxml2=2.9.10=hb55368b_3
littleutils=0.2.2=py_0
markdown=3.1.1=py37_0
matplotlib=3.1.3=py37_0
matplotlib-base=3.1.3=py37hef1b27d_0
mccabe=0.6.1=pypi_0
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
mpmath=1.2.1=pyhd8ed1ab_0
ncurses=6.2=he6710b0_1
networkx=2.4=py_1
numpy=1.16.6=py37hbc911f0_0
numpy-base=1.16.6=py37hde5b4d6_0
olefile=0.46=py37_0
openssl=1.1.1k=h7f98852_0
outdated=0.2.1=pyhd8ed1ab_0
pandas=1.2.4=py37ha9443f7_0
pandas-flavor=0.1.2=py_0
patsy=0.5.1=py_0
pcre=8.44=he6710b0_0
pillow=7.0.0=py37hb39fc2d_0
pingouin=0.3.12=pyhd8ed1ab_0
pip=20.0.2=py37_3
protobuf=3.11.4=py37he6710b0_0
pycodestyle=2.5.0=pypi_0
pycparser=2.20=pyh9f0ad1d_2
pydocstyle=5.0.2=pypi_0
pydot=1.4.1=pypi_0
pyflakes=2.2.0=pypi_0
pylava=0.2.2=pypi_0
pyopenssl=20.0.1=pyhd8ed1ab_0
pyparsing=2.4.7=py_0
pyqt=5.9.2=py37h22d08a2_1
pysocks=1.7.1=py37h89c1867_3
python=3.7.6=h0371630_2
python-dateutil=2.8.1=py_0
python_abi=3.7=2_cp37m
pytz=2021.1=pyhd8ed1ab_0
pywavelets=1.1.1=py37h7b6447c_2
pyyaml=5.3.1=py37h7b6447c_0
qt=5.9.7=h5867ecd_1
readline=7.0=h7b6447c_5
requests=2.26.0=pyhd8ed1ab_0
scikit-image=0.16.2=py37h0573a6f_0
scikit-learn=0.24.1=pypi_0
scipy=1.4.1=py37h0b6359f_0
seaborn=0.11.1=hd8ed1ab_1
seaborn-base=0.11.1=pyhd8ed1ab_1
setuptools=46.1.3=py37_0
sip=4.19.24=py37he6710b0_0
six=1.14.0=py37_0
sklearn=0.0=pypi_0
snowballstemmer=2.0.0=pypi_0
sqlite=3.31.1=h62c20be_1
statsmodels=0.12.2=py37h902c9e0_0
tabulate=0.8.9=pyhd8ed1ab_0
tensorboard=1.14.0=py37hf484d3e_0
tensorflow=1.14.0=mkl_py37h45c423b_0
tensorflow-base=1.14.0=mkl_py37h7ce6ba3_0
tensorflow-estimator=1.14.0=py_0
termcolor=1.1.0=py37_1
threadpoolctl=2.1.0=pypi_0
tk=8.6.8=hbc83047_0
toolz=0.10.0=py_0
tornado=6.0.4=py37h7b6447c_1
tqdm=4.46.0=pypi_0
urllib3=1.26.6=pyhd8ed1ab_0
werkzeug=1.0.1=py_0
wheel=0.34.2=py37_0
wrapt=1.12.1=py37h7b6447c_1
xz=5.2.5=h7b6447c_0
yaml=0.1.7=h96e3832_1
zlib=1.2.11=h7b6447c_3
zstd=1.3.7=h0b5b093_0