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rnn-embeddings-songs

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rnn-embeddings-songs
File size: 3,507 Bytes 
9c58361
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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name: rnn-embeddings
channels:
  - anaconda
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - _tflow_select=2.1.0=gpu
  - absl-py=0.8.1=py36_0
  - astor=0.8.0=py36_0
  - astroid=2.3.3=py36_0
  - blas=1.0=mkl
  - c-ares=1.15.0=h7b6447c_1001
  - ca-certificates=2019.11.27=0
  - cairo=1.14.12=h8948797_3
  - certifi=2019.11.28=py36_0
  - cudatoolkit=9.2=0
  - cudnn=7.6.4=cuda9.2_0
  - cupti=9.2.148=0
  - cycler=0.10.0=py36_0
  - dbus=1.13.12=h746ee38_0
  - expat=2.2.6=he6710b0_0
  - fontconfig=2.13.0=h9420a91_0
  - freetype=2.9.1=h8a8886c_1
  - fribidi=1.0.5=h7b6447c_0
  - gast=0.3.2=py_0
  - glib=2.63.1=h5a9c865_0
  - google-pasta=0.1.8=py_0
  - graphite2=1.3.13=h23475e2_0
  - graphviz=2.40.1=h21bd128_2
  - grpcio=1.16.1=py36hf8bcb03_1
  - gst-plugins-base=1.14.0=hbbd80ab_1
  - gstreamer=1.14.0=hb453b48_1
  - h5py=2.9.0=py36h7918eee_0
  - harfbuzz=1.8.8=hffaf4a1_0
  - hdf5=1.10.4=hb1b8bf9_0
  - icu=58.2=h9c2bf20_1
  - intel-openmp=2019.4=243
  - isort=4.3.21=py36_0
  - joblib=0.14.0=py_0
  - jpeg=9b=h024ee3a_2
  - keras=2.2.4=0
  - keras-applications=1.0.8=py_0
  - keras-base=2.2.4=py36_0
  - keras-preprocessing=1.1.0=py_1
  - kiwisolver=1.1.0=py36he6710b0_0
  - lazy-object-proxy=1.4.3=py36h7b6447c_0
  - 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
  - libpng=1.6.37=hbc83047_0
  - libprotobuf=3.10.1=hd408876_0
  - libstdcxx-ng=9.1.0=hdf63c60_0
  - libtiff=4.1.0=h2733197_0
  - libuuid=1.0.3=h1bed415_2
  - libxcb=1.13=h1bed415_1
  - libxml2=2.9.9=hea5a465_1
  - markdown=3.1.1=py36_0
  - matplotlib=3.1.1=py36h5429711_0
  - mccabe=0.6.1=py36_1
  - mkl=2019.4=243
  - mkl-service=2.3.0=py36he904b0f_0
  - mkl_fft=1.0.15=py36ha843d7b_0
  - mkl_random=1.1.0=py36hd6b4f25_0
  - mock=3.0.5=py36_0
  - ncurses=6.1=he6710b0_1
  - openssl=1.1.1=h7b6447c_0
  - pandas=0.25.3=py36he6710b0_0
  - pango=1.42.4=h049681c_0
  - patsy=0.5.1=py36_0
  - pcre=8.43=he6710b0_0
  - pip=19.3.1=py36_0
  - pixman=0.38.0=h7b6447c_0
  - protobuf=3.10.1=py36he6710b0_0
  - pylint=2.4.4=py36_0
  - pyparsing=2.4.5=py_0
  - pyqt=5.9.2=py36h05f1152_2
  - python=3.6.9=h265db76_0
  - pytz=2019.3=py_0
  - qt=5.9.7=h5867ecd_1
  - readline=7.0=h7b6447c_5
  - scikit-learn=0.21.3=py36hd81dba3_0
  - scipy=1.3.1=py36h7c811a0_0
  - seaborn=0.9.0=pyh91ea838_1
  - setuptools=42.0.2=py36_0
  - sip=4.19.8=py36hf484d3e_0
  - six=1.13.0=py36_0
  - sqlite=3.30.1=h7b6447c_0
  - statsmodels=0.10.1=py36hdd07704_0
  - tensorboard=1.14.0=py36hf484d3e_0
  - tensorflow=1.14.0=gpu_py36hfc5689a_0
  - tensorflow-base=1.14.0=gpu_py36h611c6d2_0
  - tensorflow-estimator=1.14.0=py_0
  - tensorflow-gpu=1.14.0=h0d30ee6_0
  - termcolor=1.1.0=py36_1
  - tk=8.6.8=hbc83047_0
  - tornado=6.0.3=py36h7b6447c_0
  - typed-ast=1.4.0=py36h7b6447c_0
  - werkzeug=0.16.0=py_0
  - wheel=0.33.6=py36_0
  - wrapt=1.11.2=py36h7b6447c_0
  - xz=5.2.4=h14c3975_4
  - yaml=0.1.7=had09818_2
  - zlib=1.2.11=h7b6447c_3
  - zstd=1.3.7=h0b5b093_0
  - pip:
    - bilm==0.1.post5
    - blessings==1.7
    - boto==2.49.0
    - boto3==1.10.33
    - botocore==1.13.33
    - chardet==3.0.4
    - docutils==0.15.2
    - gensim==3.8.1
    - glove-python==0.1.0
    - gpustat==0.6.0
    - idna==2.8
    - jmespath==0.9.4
    - ml-metrics==0.1.4
    - numpy==1.16.4
    - nvidia-ml-py3==7.352.0
    - psutil==5.6.7
    - pydot==1.4.1
    - python-dateutil==2.8.0
    - pyyaml>=3.11, <6.0
    - requests==2.22.0
    - s3transfer==0.2.1
    - smart-open==1.9.0
    - urllib3==1.25.7