requirements.txt

# 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
absl-py=0.13.0=pypi_0
backcall=0.2.0=pyhd3eb1b0_0
blas=1.0=mkl
ca-certificates=2022.4.26=h06a4308_0
certifi=2021.5.30=py36h06a4308_0
click=8.0.1=pypi_0
cudatoolkit=10.1.243=h6bb024c_0
cycler=0.10.0=py_2
dataclasses=0.8=pyh4f3eec9_6
dbus=1.13.6=he372182_0
decorator=5.1.1=pyhd3eb1b0_0
deprecated=1.2.12=pypi_0
einops=0.3.0=pypi_0
entrypoints=0.3=py36_0
expat=2.3.0=h2531618_2
fontconfig=2.13.1=he4413a7_1000
freetype=2.10.4=h5ab3b9f_0
glib=2.68.0=h36276a3_0
grpcio=1.40.0=pypi_0
gst-plugins-base=1.14.0=hbbd80ab_1
gstreamer=1.14.0=h28cd5cc_2
humanize=3.9.0=pypi_0
icu=58.2=hf484d3e_1000
imbalanced-learn=0.7.0=py_1
importlib-metadata=4.5.0=pypi_0
intel-openmp=2020.2=254
ipdb=0.13.9=pyhd8ed1ab_0
ipykernel=5.3.4=py36h5ca1d4c_0
ipython=7.16.1=py36h5ca1d4c_0
ipython_genutils=0.2.0=pyhd3eb1b0_1
jedi=0.17.0=py36_0
joblib=0.17.0=py_0
jpeg=9b=h024ee3a_2
jupyter_client=7.1.2=pyhd3eb1b0_0
jupyter_core=4.8.1=py36h06a4308_0
kiwisolver=1.3.1=py36h51d7077_0
lcms2=2.11=h396b838_0
ld_impl_linux-64=2.38=h1181459_1
libffi=3.3=he6710b0_2
libgcc-ng=11.2.0=h1234567_1
libgfortran-ng=7.3.0=hdf63c60_0
libgomp=11.2.0=h1234567_1
libllvm10=10.0.1=hbcb73fb_5
libpng=1.6.37=hbc83047_0
libprotobuf=3.17.2=h4ff587b_1
libsodium=1.0.18=h7b6447c_0
libstdcxx-ng=11.2.0=h1234567_1
libtiff=4.2.0=h85742a9_0
libuuid=2.32.1=h14c3975_1000
libuv=1.40.0=h7b6447c_0
libwebp-base=1.2.0=h27cfd23_0
libxcb=1.13=h14c3975_1002
libxml2=2.9.10=hb55368b_3
llvmlite=0.36.0=py36h612dafd_4
lz4-c=1.9.3=h2531618_0
markdown=3.3.4=pypi_0
matplotlib=3.3.4=py36h5fab9bb_0
matplotlib-base=3.3.4=py36h62a2d02_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
mne=0.11.0=pypi_0
monai=0.6.0=pypi_0
ncurses=6.3=h7f8727e_2
nest-asyncio=1.5.1=pyhd3eb1b0_0
nibabel=3.2.1=pypi_0
ninja=1.10.2=py36hff7bd54_0
numba=0.53.1=py36ha9443f7_0
numpy=1.19.2=py36h54aff64_0
numpy-base=1.19.2=py36hfa32c7d_0
olefile=0.46=py36_0
openssl=1.1.1p=h5eee18b_0
packaging=20.9=pypi_0
pandas=1.1.3=py36he6710b0_0
parso=0.8.3=pyhd3eb1b0_0
patsy=0.5.1=pypi_0
pcre=8.44=he1b5a44_0
pexpect=4.8.0=pyhd3eb1b0_3
pickleshare=0.7.5=pyhd3eb1b0_1003
pillow=8.1.2=py36he98fc37_0
pip=21.2.2=py36h06a4308_0
prompt-toolkit=3.0.20=pyhd3eb1b0_0
protobuf=3.17.3=pypi_0
pthread-stubs=0.4=h36c2ea0_1001
ptyprocess=0.7.0=pyhd3eb1b0_2
pygments=2.11.2=pyhd3eb1b0_0
pyparsing=2.4.7=pyh9f0ad1d_0
pyqt=5.9.2=py36hcca6a23_4
python=3.6.13=h12debd9_1
python-dateutil=2.8.2=pyhd3eb1b0_0
python_abi=3.6=1_cp36m
pytorch=1.7.1=py3.6_cuda10.1.243_cudnn7.6.3_0
pytz=2020.1=py_0
pyzmq=22.2.1=py36h295c915_1
qt=5.9.7=h5867ecd_1
readline=8.1.2=h7f8727e_1
scikit-learn=0.23.2=py36h0573a6f_0
scipy=1.5.2=py36h0b6359f_0
seaborn=0.11.0=py_0
setuptools=58.0.4=py36h06a4308_0
simpleitk=1.2.4=pypi_0
sip=4.19.8=py36hf484d3e_0
six=1.16.0=pyhd3eb1b0_1
sktime=0.4.1=pypi_0
sqlite=3.38.5=hc218d9a_0
statsmodels=0.12.2=pypi_0
tabulate=0.8.9=pyhd8ed1ab_0
tbb=2020.3=hfd86e86_0
tensorboard=1.15.0=pypi_0
tensorboardx=2.4=pyhd8ed1ab_0
threadpoolctl=2.1.0=pyh5ca1d4c_0
tk=8.6.12=h1ccaba5_0
torchaudio=0.7.2=py36
torchvision=0.8.2=py36_cu101
tornado=6.1=py36h27cfd23_0
tqdm=4.61.1=pypi_0
traitlets=4.3.3=py36h06a4308_0
tsaug=0.2.1=pypi_0
typing_extensions=3.7.4.3=pyha847dfd_0
wcwidth=0.2.5=pyhd3eb1b0_0
werkzeug=2.0.1=pypi_0
wheel=0.37.1=pyhd3eb1b0_0
wrapt=1.12.1=pypi_0
xlrd=1.2.0=py36_0
xlutils=2.0.0=pyh9f0ad1d_0
xlwt=1.3.0=py36_0
xorg-libxau=1.0.9=h14c3975_0
xorg-libxdmcp=1.1.3=h516909a_0
xz=5.2.5=h7f8727e_1
zeromq=4.3.4=h2531618_0
zipp=3.4.1=pypi_0
zlib=1.2.12=h7f8727e_2
zstd=1.4.5=h9ceee32_0