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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
_openmp_mutex=5.1=1_gnu
_tflow_select=2.3.0=mkl
absl-py=0.15.0=pyhd3eb1b0_0
astor=0.8.1=py36h06a4308_0
blas=1.0=mkl
ca-certificates=2023.01.10=h06a4308_0
certifi=2016.2.28=py36_0
cudatoolkit=10.0.130=0
cudnn=7.6.4=cuda10.0_0
cycler=0.10.0=py36_0
dataclasses=0.8=pypi_0
dbus=1.13.18=hb2f20db_0
decorator=4.4.2=pypi_0
expat=2.4.9=h6a678d5_0
fontconfig=2.13.1=h6c09931_0
freetype=2.11.0=h70c0345_0
gast=0.5.3=pyhd3eb1b0_0
glib=2.63.1=h5a9c865_0
google-pasta=0.2.0=pyhd3eb1b0_0
grpcio=1.12.1=py36hdbcaa40_0
gst-plugins-base=1.14.0=hbbd80ab_1
gstreamer=1.14.0=hb453b48_1
h5py=2.10.0=py36hd6299e0_1
hdf5=1.10.6=hb1b8bf9_0
icu=58.2=he6710b0_3
intel-openmp=2022.0.1=h06a4308_3633
joblib=0.11=py36_0
jpeg=9b=0
keras=2.2.5=pypi_0
keras-applications=1.0.8=py_1
keras-preprocessing=1.1.2=pyhd3eb1b0_0
kiwisolver=1.3.1=py36h2531618_0
lcms2=2.12=h3be6417_0
libedit=3.1=heed3624_0
libffi=3.2.1=1
libgcc-ng=11.2.0=h1234567_1
libgfortran-ng=7.5.0=ha8ba4b0_17
libgfortran4=7.5.0=ha8ba4b0_17
libgomp=11.2.0=h1234567_1
libllvm10=10.0.1=hbcb73fb_5
libpng=1.6.37=hbc83047_0
libprotobuf=3.17.2=h4ff587b_1
libstdcxx-ng=11.2.0=h1234567_1
libtiff=4.2.0=h85742a9_0
libuuid=1.0.3=0
libwebp-base=1.2.4=h5eee18b_1
libxcb=1.15=h7f8727e_0
libxml2=2.9.12=h03d6c58_0
llvmlite=0.36.0=py36h612dafd_4
lz4-c=1.9.4=h6a678d5_0
markdown=2.6.9=py36_0
matplotlib=3.3.1=0
matplotlib-base=3.3.1=py36h817c723_0
mkl=2020.2=256
mkl-service=2.3.0=py36he8ac12f_0
mkl_fft=1.3.0=py36h54f3939_0
mkl_random=1.1.1=py36h0573a6f_0
ncurses=6.0=h9df7e31_2
networkx=2.5.1=pypi_0
numba=0.53.1=py36ha9443f7_0
numpy=1.19.2=py36h54aff64_0
numpy-base=1.19.2=py36hfa32c7d_0
olefile=0.44=py36_0
openjpeg=2.4.0=h3ad879b_0
openssl=1.0.2l=0
package-name=0.1=pypi_0
pandas=0.20.3=py36_0
pcre=8.45=h295c915_0
pillow=8.3.1=py36h2c7a002_0
pip=21.3.1=pypi_0
protobuf=3.17.2=py36h295c915_0
pyparsing=2.2.0=py36_0
pyqt=5.9.2=py36h05f1152_2
python=3.6.3=h0ef2715_3
python-dateutil=2.6.1=py36_0
pytz=2017.2=py36_0
pyyaml=6.0=pypi_0
qt=5.9.6=h52aff34_0
readline=7.0=ha6073c6_4
scikit-learn=0.24.2=py36ha9443f7_0
scipy=1.5.2=py36h0b6359f_0
setuptools=59.6.0=pypi_0
sip=4.19.8=py36hf484d3e_0
six=1.10.0=py36_0
sparse-dot-mkl=0.8.3=pypi_0
sqlite=3.23.1=he433501_0
tbb=2020.3=hfd86e86_0
tensorboard=1.14.0=py36hf484d3e_0
tensorflow=1.14.0=mkl_py36h2526735_0
tensorflow-base=1.14.0=mkl_py36h7ce6ba3_0
tensorflow-estimator=1.14.0=py_0
termcolor=1.1.0=py36_0
tfpyth=1.0.1=pypi_0
threadpoolctl=2.2.0=pyh0d69192_0
tk=8.6.11=h1ccaba5_0
torch=1.10.2=pypi_0
torch-scatter=2.0.9=pypi_0
torch-sparse=0.6.12=pypi_0
tornado=4.5.2=py36_0
tqdm=4.15.0=py36_0
typing-extensions=4.1.1=pypi_0
werkzeug=0.12.2=py36_0
wheel=0.29.0=py36_0
wrapt=1.12.1=py36h7b6447c_1
xz=5.2.10=h5eee18b_1
zlib=1.2.11=0
zstd=1.4.9=haebb681_0