environment.yml

name: pytorch
channels:
  - soumith
  - pytorch
  - defaults
dependencies:
  - astroid=1.5.3=py36hbdb9df2_0
  - bleach=2.0.0=py36h688b259_0
  - bokeh=0.12.10=py36hbb0e44a_0
  - bzip2=1.0.6=h6d464ef_2
  - ca-certificates=2017.08.26=h1d4fec5_0
  - cairo=1.14.10=hdf128ce_6
  - certifi=2018.1.18=py36_0
  - cffi=1.10.0=py36had8d393_1
  - click=6.7=py36h5253387_0
  - cloudpickle=0.5.2=py36h84cdd9c_0
  - cudatoolkit=8.0=3
  - cudnn=7.0.5=cuda8.0_0
  - cycler=0.10.0=py36h93f1223_0
  - dask=0.16.0=py36h73d177f_0
  - dask-core=0.16.0=py36ha827fd6_0
  - dbus=1.10.22=h3b5a359_0
  - decorator=4.1.2=py36hd076ac8_0
  - distributed=1.20.0=py36h1c9f478_0
  - entrypoints=0.2.3=py36h1aec115_2
  - expat=2.2.5=he0dffb1_0
  - ffmpeg=3.4=h7264315_0
  - fontconfig=2.12.4=h88586e7_1
  - freetype=2.8=hab7d2ae_1
  - glib=2.53.6=h5d9569c_2
  - gmp=6.1.2=h6c8ec71_1
  - graphite2=1.3.10=hc526e54_0
  - gst-plugins-base=1.12.2=he3457e5_0
  - gstreamer=1.12.2=h4f93127_0
  - h5py=2.7.1=py36h3585f63_0
  - harfbuzz=1.5.0=h2545bd6_0
  - hdf5=1.10.1=h9caa474_1
  - heapdict=1.0.0=py36h79797d7_0
  - html5lib=0.999999999=py36h2cfc398_0
  - icu=58.2=h9c2bf20_1
  - imageio=2.2.0=py36he555465_0
  - intel-openmp=2018.0.0=h15fc484_7
  - ipykernel=4.6.1=py36hbf841aa_0
  - ipython=6.1.0=py36hc72a948_1
  - ipython_genutils=0.2.0=py36hb52b0d5_0
  - ipywidgets=7.0.0=py36h7b55c3a_0
  - isort=4.2.15=py36had401c0_0
  - jasper=1.900.1=hd497a04_4
  - jedi=0.10.2=py36h552def0_0
  - jinja2=2.9.6=py36h489bce4_1
  - jpeg=9b=h024ee3a_2
  - jsonschema=2.6.0=py36h006f8b5_0
  - jupyter=1.0.0=py36h9896ce5_0
  - jupyter_client=5.1.0=py36h614e9ea_0
  - jupyter_console=5.2.0=py36he59e554_1
  - jupyter_core=4.3.0=py36h357a921_0
  - lazy-object-proxy=1.3.1=py36h10fcdad_0
  - libedit=3.1=heed3624_0
  - libffi=3.2.1=hd88cf55_4
  - libgcc=7.2.0=h69d50b8_2
  - libgcc-ng=7.2.0=h7cc24e2_2
  - libgfortran-ng=7.2.0=h9f7466a_2
  - libopus=1.2.1=hb9ed12e_0
  - libpng=1.6.32=hda9c8bc_2
  - libprotobuf=3.4.1=h5b8497f_0
  - libsodium=1.0.15=hf101ebd_0
  - libstdcxx-ng=7.2.0=h7a57d05_2
  - libtiff=4.0.9=h28f6b97_0
  - libvpx=1.6.1=h888fd40_0
  - libxcb=1.12=h84ff03f_3
  - libxml2=2.9.4=h6b072ca_5
  - llvmlite=0.21.0=py36ha241eea_0
  - locket=0.2.0=py36h787c0ad_1
  - markupsafe=1.0=py36hd9260cd_1
  - matplotlib=2.1.0=py36hba5de38_0
  - mccabe=0.6.1=py36h5ad9710_1
  - mistune=0.8.1=py36h3d5977c_0
  - mkl=2018.0.0=hb491cac_4
  - msgpack-python=0.4.8=py36hec4c5d1_0
  - nbconvert=5.3.1=py36hb41ffb7_0
  - nbformat=4.4.0=py36h31c9010_0
  - ncurses=6.0=h9df7e31_2
  - networkx=2.0=py36h7e96fb8_0
  - notebook=5.2.1=py36h690a4eb_0
  - numba=0.36.2=np114py36hc6662d5_0
  - numpy=1.14.0=py36h3dfced4_1
  - olefile=0.44=py36h79f9f78_0
  - opencv=3.3.1=py36h6cbbc71_1
  - openssl=1.0.2n=hb7f436b_0
  - pandas=0.21.0=py36h78bd809_1
  - pandoc=1.19.2.1=hea2e7c5_1
  - pandocfilters=1.4.2=py36ha6701b7_1
  - partd=0.3.8=py36h36fd896_0
  - patsy=0.4.1=py36ha3be15e_0
  - pcre=8.41=hc27e229_1
  - pexpect=4.2.1=py36h3b9d41b_0
  - pickleshare=0.7.4=py36h63277f8_0
  - pillow=4.2.1=py36h9119f52_0
  - pip=9.0.1=py36h6c6f9ce_4
  - pixman=0.34.0=hceecf20_3
  - prompt_toolkit=1.0.15=py36h17d85b1_0
  - psutil=5.4.0=py36h84c53db_0
  - ptyprocess=0.5.2=py36h69acd42_0
  - pycparser=2.18=py36hf9f622e_1
  - pygments=2.2.0=py36h0d3125c_0
  - pylint=1.7.4=py36hb9d4533_0
  - pyparsing=2.2.0=py36hee85983_1
  - pyqt=5.6.0=py36h0386399_5
  - python=3.6.3=h6c0c0dc_5
  - python-dateutil=2.6.1=py36h88d3b88_1
  - pytz=2017.2=py36hc2ccc2a_1
  - pywavelets=0.5.2=py36he602eb0_0
  - pyyaml=3.12=py36hafb9ca4_1
  - pyzmq=16.0.2=py36h3b0cf96_2
  - qt=5.6.2=h974d657_12
  - qtconsole=4.3.1=py36h8f73b5b_0
  - readline=7.0=ha6073c6_4
  - scikit-image=0.13.0=py36had3c07a_1
  - scikit-learn=0.19.1=py36h7aa7ec6_0
  - scipy=1.0.0=py36hbf646e7_0
  - seaborn=0.8.1=py36hfad7ec4_0
  - setuptools=36.5.0=py36he42e2e1_0
  - simplegeneric=0.8.1=py36h2cb9092_0
  - sip=4.18.1=py36h51ed4ed_2
  - six=1.11.0=py36h372c433_1
  - sortedcontainers=1.5.7=py36hdf89491_0
  - sqlite=3.20.1=hb898158_2
  - statsmodels=0.8.0=py36h8533d0b_0
  - tblib=1.3.2=py36h34cf8b6_0
  - terminado=0.6=py36ha25a19f_0
  - testpath=0.3.1=py36h8cadb63_0
  - tk=8.6.7=hc745277_3
  - toolz=0.8.2=py36h81f2dff_0
  - tornado=4.5.2=py36h1283b2a_0
  - traitlets=4.3.2=py36h674d592_0
  - wcwidth=0.1.7=py36hdf4376a_0
  - webencodings=0.5.1=py36h800622e_1
  - wheel=0.30.0=py36hfd4bba0_1
  - widgetsnbextension=3.0.2=py36hd01bb71_1
  - wrapt=1.10.11=py36h28b7045_0
  - xz=5.2.3=h55aa19d_2
  - yaml=0.1.7=had09818_2
  - zeromq=4.2.2=hbedb6e5_2
  - zict=0.1.3=py36h3a3bf81_0
  - zlib=1.2.11=ha838bed_2
  - pytorch=0.3.1=py36_cuda8.0.61_cudnn7.0.5_2
  - torchvision=0.2.0=py36h17b6947_1
  - cuda80=1.0=0
  - pip:
    - markdown==2.6.9
    - nibabel==2.2.1
    - protobuf==3.5.1
    - pydicom==1.0.2
    - pytorch-fft==0.14
    - tensorboardx==1.1
    - torch==0.3.1.post2
prefix: /vol/biomedic/users/mseitzer/programs/miniconda3/envs/pytorch