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GitHub / ludekcizinsky / fMRI-dimensionality-reduction

In this project, we investigate use of various methods, including PCA, for dimensionality reduction of fMRI data.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ludekcizinsky%2FfMRI-dimensionality-reduction

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 21 MB
Dependencies: 115

Created: 7 months ago
Updated: 7 months ago
Last pushed: 7 months ago
Last synced: 7 months ago

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Dependencies

requirements.txt pypi

appnope =0.1.3=pyhd8ed1ab_0
asttokens =2.4.0=pyhd8ed1ab_0
backcall =0.2.0=pyh9f0ad1d_0
backports =1.1=pyhd3eb1b0_0
backports.functools_lru_cache =1.6.5=pyhd8ed1ab_0
blas =1.0=openblas
bottleneck =1.3.5=py310h4e76f89_0
brotli =1.0.9=hb1e8313_2
brotli-python =1.1.0=py310h9e9d8ca_1
bzip2 =1.0.8=h1de35cc_0
ca-certificates =2023.08.22=hecd8cb5_0
certifi =2023.7.22=py310hecd8cb5_0
charset-normalizer =3.3.1=pyhd8ed1ab_0
comm =0.1.4=pyhd8ed1ab_0
contourpy =1.0.5=py310haf03e11_0
cycler =0.11.0=pyhd3eb1b0_0
debugpy =1.8.0=py310h9e9d8ca_1
decorator =5.1.1=pyhd8ed1ab_0
exceptiongroup =1.1.3=pyhd8ed1ab_0
executing =1.2.0=pyhd8ed1ab_0
fonttools =4.25.0=pyhd3eb1b0_0
freetype =2.12.1=hd8bbffd_0
giflib =5.2.1=h6c40b1e_3
icu =73.2=hf5e326d_0
idna =3.4=pyhd8ed1ab_0
importlib-metadata =6.8.0=pyha770c72_0
importlib_metadata =6.8.0=hd8ed1ab_0
ipykernel =6.26.0=pyh3cd1d5f_0
ipython =8.16.1=pyh31c8845_0
jedi =0.19.1=pyhd8ed1ab_0
joblib =1.3.2=pyhd8ed1ab_0
jpeg =9e=h6c40b1e_1
jupyter_client =8.5.0=pyhd8ed1ab_0
jupyter_core =5.4.0=py310h2ec42d9_0
kiwisolver =1.4.4=py310hcec6c5f_0
lcms2 =2.12=hf1fd2bf_0
lerc =3.0=he9d5cce_0
libblas =3.9.0=19_osx64_openblas
libcblas =3.9.0=19_osx64_openblas
libcxx =16.0.6=hd57cbcb_0
libdeflate =1.17=hb664fd8_1
libffi =3.4.4=hecd8cb5_0
libgfortran =5.0.0=13_2_0_h97931a8_1
libgfortran5 =13.2.0=h2873a65_1
libiconv =1.17=hac89ed1_0
liblapack =3.9.0=19_osx64_openblas
libopenblas =0.3.24=openmp_h48a4ad5_0
libpng =1.6.39=h6c40b1e_0
libsodium =1.0.18=hbcb3906_1
libtiff =4.5.1=hcec6c5f_0
libwebp =1.3.2=hf6ce154_0
libwebp-base =1.3.2=h6c40b1e_0
libxml2 =2.10.4=h1bd7e62_1
libxslt =1.1.37=h5d22bc9_0
llvm-openmp =17.0.3=hb6ac08f_0
lxml =4.9.3=py310h946e0e5_0
lz4-c =1.9.4=hcec6c5f_0
matplotlib-base =3.7.2=py310hee32256_0
matplotlib-inline =0.1.6=pyhd8ed1ab_0
munkres =1.1.4=py_0
ncurses =6.4=hcec6c5f_0
nest-asyncio =1.5.8=pyhd8ed1ab_0
nibabel =5.1.0=py310h2ec42d9_3
nilearn =0.10.2=pyhd8ed1ab_0
numexpr =2.8.7=py310hf6dca73_0
numpy =1.26.0=py310hf6dca73_0
numpy-base =1.26.0=py310hd8f4981_0
openjpeg =2.4.0=h66ea3da_0
openssl =3.1.4=hd75f5a5_0
packaging =23.2=pyhd8ed1ab_0
pandas =2.1.1=py310h3ea8b11_0
parso =0.8.3=pyhd8ed1ab_0
pexpect =4.8.0=pyh1a96a4e_2
pickleshare =0.7.5=py_1003
pillow =10.0.1=py310h7d39338_0
pip =23.3=py310hecd8cb5_0
platformdirs =3.11.0=pyhd8ed1ab_0
prompt-toolkit =3.0.39=pyha770c72_0
prompt_toolkit =3.0.39=hd8ed1ab_0
psutil =5.9.5=py310h6729b98_1
ptyprocess =0.7.0=pyhd3deb0d_0
pure_eval =0.2.2=pyhd8ed1ab_0
pygments =2.16.1=pyhd8ed1ab_0
pyparsing =3.0.9=py310hecd8cb5_0
pysocks =1.7.1=pyha2e5f31_6
python =3.10.13=h5ee71fb_0
python-dateutil =2.8.2=pyhd8ed1ab_0
python-tzdata =2023.3=pyhd8ed1ab_0
python_abi =3.10=2_cp310
pytz =2023.3.post1=pyhd8ed1ab_0
pyzmq =25.1.1=py310hd8b4af3_2
readline =8.2=hca72f7f_0
requests =2.31.0=pyhd8ed1ab_0
scikit-learn =1.3.2=py310h04b1a37_1
scipy =1.11.3=py310ha516a68_0
seaborn =0.12.2=py310hecd8cb5_0
setuptools =68.0.0=py310hecd8cb5_0
six =1.16.0=pyh6c4a22f_0
sqlite =3.41.2=h6c40b1e_0
stack_data =0.6.2=pyhd8ed1ab_0
threadpoolctl =3.2.0=pyha21a80b_0
tk =8.6.12=h5d9f67b_0
tornado =6.3.3=py310h6729b98_1
traitlets =5.12.0=pyhd8ed1ab_0
typing-extensions =4.8.0=hd8ed1ab_0
typing_extensions =4.8.0=pyha770c72_0
tzdata =2023c=h04d1e81_0
urllib3 =2.0.7=pyhd8ed1ab_0
wcwidth =0.2.8=pyhd8ed1ab_0
wheel =0.41.2=py310hecd8cb5_0
xz =5.4.2=h6c40b1e_0
zeromq =4.3.5=h93d8f39_0
zipp =3.17.0=pyhd8ed1ab_0
zlib =1.2.13=h4dc903c_0
zstd =1.5.5=hc035e20_0