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GitHub / ppciesiolkiewicz / nn-cross-correlation

Cross-correlation between NN generated feature maps

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ppciesiolkiewicz%2Fnn-cross-correlation

Stars: 0
Forks: 0
Open Issues: 0

License: mit
Language: Jupyter Notebook
Repo Size: 234 KB
Dependencies: 189

Created: about 4 years ago
Updated: about 4 years ago
Last pushed: about 4 years ago
Last synced: over 1 year ago

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Dependencies

requirements.txt pypi

absl-py =0.9.0=py37_0
asn1crypto =1.3.0=py37_0
asserts =0.9.1=pypi_0
astor =0.8.0=py37_0
attrs =19.3.0=py_0
backcall =0.1.0=py37_0
beautifulsoup4 =4.8.2=py37_0
blas =1.0=mkl
bleach =3.1.0=py37_0
bottleneck =1.3.2=py37heb32a55_0
bzip2 =1.0.8=h7b6447c_0
c-ares =1.15.0=h7b6447c_1001
ca-certificates =2020.1.1=0
cairo =1.14.12=h8948797_3
certifi =2019.11.28=py37_0
cffi =1.14.0=py37h2e261b9_0
chardet =3.0.4=py37_1003
cryptography =2.8=py37h1ba5d50_0
cudatoolkit =10.0.130=0
cudnn =7.6.5=cuda10.0_0
cycler =0.10.0=py37_0
cymem =2.0.2=py37hfd86e86_0
cython-blis =0.2.4=py37h516909a_1
dataclasses =0.7=py37_0
dbus =1.13.12=h746ee38_0
decorator =4.4.1=py_0
defusedxml =0.6.0=py_0
entrypoints =0.3=py37_0
expat =2.2.6=he6710b0_0
fastai =1.0.58=1
fastprogress =0.1.21=py_0
ffmpeg =4.0=hcdf2ecd_0
fire =0.2.1=pypi_0
fontconfig =2.13.0=h9420a91_0
freeglut =3.0.0=hf484d3e_5
freetype =2.9.1=h8a8886c_1
gast =0.2.2=py37_0
glib =2.63.1=h5a9c865_0
gmp =6.1.2=h6c8ec71_1
google-pasta =0.1.8=py_0
graphite2 =1.3.13=h23475e2_0
grpcio =1.27.2=py37hf8bcb03_0
gst-plugins-base =1.14.0=hbbd80ab_1
gstreamer =1.14.0=hb453b48_1
h5py =2.8.0=py37h989c5e5_3
harfbuzz =1.8.8=hffaf4a1_0
hdf5 =1.10.2=hba1933b_1
icu =58.2=h9c2bf20_1
idna =2.8=py37_0
importlib_metadata =1.5.0=py37_0
imutils =0.5.3=pypi_0
intel-openmp =2019.4=243
ipykernel =5.1.4=py37h39e3cac_0
ipython =7.12.0=py37h5ca1d4c_0
ipython_genutils =0.2.0=py37_0
ipywidgets =7.5.1=py_0
jasper =2.0.14=h07fcdf6_1
jedi =0.16.0=py37_0
jinja2 =2.11.1=py_0
jpeg =9b=h024ee3a_2
jsonschema =3.2.0=py37_0
jupyter =1.0.0=py37_7
jupyter_client =5.3.4=py37_0
jupyter_console =6.1.0=py_0
jupyter_core =4.6.1=py37_0
kaggle =1.5.6=pypi_0
keras =2.3.1=0
keras-applications =1.0.8=py_0
keras-base =2.3.1=py37_0
keras-preprocessing =1.1.0=py_1
kiwisolver =1.1.0=py37he6710b0_0
ld_impl_linux-64 =2.33.1=h53a641e_7
libedit =3.1.20181209=hc058e9b_0
libffi =3.2.1=hd88cf55_4
libgcc-ng =9.1.0=hdf63c60_0
libgfortran-ng =7.3.0=hdf63c60_0
libglu =9.0.0=hf484d3e_1
libopencv =3.4.2=hb342d67_1
libopus =1.3=h7b6447c_0
libpng =1.6.37=hbc83047_0
libprotobuf =3.11.4=hd408876_0
libsodium =1.0.16=h1bed415_0
libstdcxx-ng =9.1.0=hdf63c60_0
libtiff =4.1.0=h2733197_0
libuuid =1.0.3=h1bed415_2
libvpx =1.7.0=h439df22_0
libxcb =1.13=h1bed415_1
libxml2 =2.9.9=hea5a465_1
markdown =3.1.1=py37_0
markupsafe =1.1.1=py37h7b6447c_0
matplotlib =3.1.3=py37_0
matplotlib-base =3.1.3=py37hef1b27d_0
mistune =0.8.4=py37h7b6447c_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
murmurhash =1.0.2=py37he6710b0_0
nbconvert =5.6.1=py37_0
nbformat =5.0.4=py_0
ncurses =6.2=he6710b0_0
ninja =1.9.0=py37hfd86e86_0
notebook =6.0.3=py37_0
numexpr =2.7.1=py37h423224d_0
numpy =1.18.1=py37h4f9e942_0
numpy-base =1.18.1=py37hde5b4d6_1
nvidia-ml-py3 =7.352.0=py_0
olefile =0.46=py37_0
opencv =3.4.2=py37h6fd60c2_1
openssl =1.1.1d=h7b6447c_4
opt_einsum =3.1.0=py_0
packaging =20.1=py_0
pandas =0.25.1=py37he6710b0_0
pandoc =2.2.3.2=0
pandocfilters =1.4.2=py37_1
parso =0.6.1=py_0
patsy =0.5.1=py37_0
pcre =8.43=he6710b0_0
pexpect =4.8.0=py37_0
pickleshare =0.7.5=py37_0
pillow =7.0.0=py37hb39fc2d_0
pip =20.0.2=py37_1
pixman =0.38.0=h7b6447c_0
plac =0.9.6=py37_0
powerline-status =2.7=pypi_0
preshed =2.0.1=py37he6710b0_0
prometheus_client =0.7.1=py_0
prompt_toolkit =3.0.3=py_0
protobuf =3.11.4=py37he6710b0_0
ptyprocess =0.6.0=py37_0
py-opencv =3.4.2=py37hb342d67_1
pycparser =2.19=py37_0
pygments =2.5.2=py_0
pyopenssl =19.1.0=py37_0
pyparsing =2.4.6=py_0
pyqt =5.9.2=py37h05f1152_2
pyrsistent =0.15.7=py37h7b6447c_0
pysocks =1.7.1=py37_0
python =3.7.6=h0371630_2
python-dateutil =2.8.1=py_0
python-slugify =4.0.0=pypi_0
pytorch =1.2.0=cuda100py37h938c94c_0
pytz =2019.3=py_0
pyyaml =5.3=py37h7b6447c_0
pyzmq =18.1.1=py37he6710b0_0
qt =5.9.7=h5867ecd_1
qtconsole =4.6.0=py_1
readline =7.0=h7b6447c_5
requests =2.22.0=py37_1
scipy =1.3.1=py37h7c811a0_0
seaborn =0.9.0=py37_0
send2trash =1.5.0=py37_0
setuptools =45.2.0=py37_0
sip =4.19.8=py37hf484d3e_0
six =1.14.0=py37_0
soupsieve =1.9.5=py37_0
spacy =2.1.8=py37hc9558a2_0
sqlite =3.31.1=h7b6447c_0
srsly =0.1.0=py37he1b5a44_0
statsmodels =0.11.0=py37h7b6447c_0
tensorboard =2.0.0=pyhb230dea_0
tensorboardx =1.9=pypi_0
tensorflow =2.0.0=mkl_py37h66b46cc_0
tensorflow-base =2.0.0=mkl_py37h9204916_0
tensorflow-estimator =2.0.0=pyh2649769_0
termcolor =1.1.0=pypi_0
terminado =0.8.3=py37_0
testpath =0.4.4=py_0
text-unidecode =1.3=pypi_0
thinc =7.0.8=py37hc9558a2_0
tk =8.6.8=hbc83047_0
torchvision =0.4.0=cuda100py37hecfc37a_0
tornado =6.0.3=py37h7b6447c_3
tqdm =4.42.1=py_0
traitlets =4.3.3=py37_0
urllib3 =1.24.3=pypi_0
wasabi =0.2.2=py_0
wcwidth =0.1.8=py_0
webencodings =0.5.1=py37_1
werkzeug =0.16.1=py_0
wheel =0.34.2=py37_0
widgetsnbextension =3.5.1=py37_0
wrapt =1.11.2=py37h7b6447c_0
xz =5.2.4=h14c3975_4
yaml =0.1.7=had09818_2
zeromq =4.3.1=he6710b0_3
zipp =2.2.0=py_0
zlib =1.2.11=h7b6447c_3
zstd =1.3.7=h0b5b093_0