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# em-gan-hotknife | ||
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GAN to generate artificial electron microscopy data to "fill in" the cut left by hot knife in FIB-SEM | ||
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## Conda packages what **should** be necessary | ||
(python 3.6.6 w conda) | ||
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pandas | ||
pillow | ||
scipy | ||
z5py | ||
h5py | ||
tensorflow-gpu | ||
keras | ||
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## Conda packages full list | ||
absl-py 0.2.2 <pip> | ||
astor 0.7.1 <pip> | ||
boost 1.66.0 py36_1 conda-forge | ||
boost-cpp 1.66.0 1 conda-forge | ||
bzip2 1.0.6 h470a237_2 conda-forge | ||
c-blosc 1.10.2 0 | ||
ca-certificates 2018.03.07 0 anaconda | ||
certifi 2018.4.16 py36_0 anaconda | ||
cudatoolkit 9.0 h13b8566_0 anaconda | ||
cudnn 7.1.2 cuda9.0_0 anaconda | ||
gast 0.2.0 <pip> | ||
grpcio 1.13.0 <pip> | ||
h5py 2.8.0 py36h8d01980_0 | ||
hdf5 1.10.2 hba1933b_1 | ||
icu 58.2 hfc679d8_0 conda-forge | ||
Keras 2.2.0 <pip> | ||
Keras-Applications 1.0.2 <pip> | ||
Keras-Preprocessing 1.0.1 <pip> | ||
libedit 3.1.20170329 h6b74fdf_2 | ||
libffi 3.2.1 hd88cf55_4 | ||
libgcc-ng 7.2.0 hdf63c60_3 | ||
libgfortran-ng 7.2.0 hdf63c60_3 | ||
libopenblas 0.2.20 h9ac9557_7 | ||
libstdcxx-ng 7.2.0 hdf63c60_3 | ||
Markdown 2.6.11 <pip> | ||
ncurses 6.1 hf484d3e_0 | ||
numpy 1.14.3 py36h28100ab_2 | ||
numpy-base 1.14.3 py36h0ea5e3f_1 | ||
openssl 1.0.2o h20670df_0 anaconda | ||
pandas 0.23.3 <pip> | ||
Pillow 5.2.0 <pip> | ||
pip 10.0.1 py36_0 | ||
protobuf 3.6.0 <pip> | ||
python 3.6.6 hc3d631a_0 | ||
python-dateutil 2.7.3 <pip> | ||
pytz 2018.5 <pip> | ||
PyYAML 3.13 <pip> | ||
readline 7.0 ha6073c6_4 | ||
scipy 1.1.0 <pip> | ||
setuptools 39.2.0 py36_0 | ||
setuptools 39.1.0 <pip> | ||
six 1.11.0 py36_1 conda-forge | ||
sqlite 3.24.0 h84994c4_0 | ||
tensorboard 1.9.0 <pip> | ||
tensorflow-gpu 1.9.0 <pip> | ||
termcolor 1.1.0 <pip> | ||
tk 8.6.7 hc745277_3 | ||
Werkzeug 0.14.1 <pip> | ||
wheel 0.31.1 py36_0 | ||
xz 5.2.4 h14c3975_4 | ||
z5py 0.5.1.post2 py36_0_gb9ba056 cpape | ||
zlib 1.2.11 ha838bed_2 |