rnn-embeddings-songs / environment.yml
Igor Santana
rnn model sent from github to huggingface
9c58361
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