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conda_env_xiang_opera.yml
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name: opera
channels:
- pytorch
- defaults
dependencies:
- blas=1.0=mkl
- ca-certificates=2018.03.07=0
- certifi=2018.4.16=py27_0
- cffi=1.11.5=py27h9745a5d_0
- freetype=2.8=hab7d2ae_1
- intel-openmp=2018.0.0=8
- jpeg=9b=h024ee3a_2
- 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
- libpng=1.6.34=hb9fc6fc_0
- libstdcxx-ng=7.2.0=hdf63c60_3
- libtiff=4.0.9=he85c1e1_1
- mkl=2018.0.2=1
- mkl_fft=1.0.1=py27h3010b51_0
- mkl_random=1.0.1=py27h629b387_0
- ncurses=6.1=hf484d3e_0
- numpy=1.14.3=py27hcd700cb_1
- numpy-base=1.14.3=py27h9be14a7_1
- olefile=0.45.1=py27_0
- openssl=1.0.2o=h20670df_0
- pillow=5.1.0=py27h3deb7b8_0
- pip=10.0.1=py27_0
- pycparser=2.18=py27hefa08c5_1
- python=2.7.15=h1571d57_0
- readline=7.0=ha6073c6_4
- setuptools=39.1.0=py27_0
- six=1.11.0=py27h5f960f1_1
- sqlite=3.23.1=he433501_0
- tk=8.6.7=hc745277_3
- wheel=0.31.1=py27_0
- xz=5.2.4=h14c3975_4
- zlib=1.2.11=ha838bed_2
- cuda90=1.0=h6433d27_0
- pytorch=0.3.1=py27_cuda9.0.176_cudnn7.0.5_2
- torchvision=0.2.0=py27hfb27419_1
- pip:
- absl-py==0.4.1
- astor==0.7.1
- backports.weakref==1.0.post1
- boto==2.48.0
- boto3==1.7.29
- botocore==1.10.29
- bz2file==0.98
- chardet==3.0.4
- cython==0.28.3
- docutils==0.14
- enum==0.4.6
- enum34==1.1.6
- funcsigs==1.0.2
- futures==3.2.0
- gast==0.2.0
- gensim==3.4.0
- grpcio==1.14.1
- h5py==2.8.0
- idna==2.6
- jmespath==0.9.3
- keras==2.2.2
- keras-applications==1.0.4
- keras-preprocessing==1.0.2
- langdetect==1.0.7
- markdown==2.6.11
- mock==2.0.0
- nltk==3.3
- pbr==4.2.0
- protobuf==3.6.1
- psutil==5.4.5
- python-dateutil==2.7.3
- pyyaml==3.12
- requests==2.18.4
- s3transfer==0.1.13
- scikit-learn==0.19.2
- scipy==1.1.0
- sklearn==0.0
- smart-open==1.5.7
- stanfordcorenlp==3.9.1.1
- tensorboard==1.10.0
- tensorflow-gpu==1.10.1
- termcolor==1.1.0
- torch==0.3.1.post2
- urllib3==1.22
- werkzeug==0.14.1
prefix: /home/lawrench/anaconda2/envs/opera