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requirements.txt
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requirements.txt
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# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_libgcc_mutex=0.1=main
_tflow_select=2.1.0=gpu
absl-py=0.7.1=py37_0
astor=0.8.0=py37_0
attrs=19.1.0=py37_1
audioread=2.1.6=py37_0
blas=1.0=mkl
bzip2=1.0.8=h516909a_1
c-ares=1.15.0=h7b6447c_1001
ca-certificates=2019.5.15=1
certifi=2019.6.16=py37_1
cffi=1.12.3=py37h2e261b9_0
cuda90=1.0=h6433d27_0
cudatoolkit=9.2=0
cudnn=7.6.0=cuda9.2_0
cupti=9.2.148=0
cycler=0.10.0=py_1
dbus=1.13.2=h714fa37_1
decorator=4.4.0=py_0
docopt=0.6.2=py37_0
expat=2.2.5=he1b5a44_1003
ffmpeg=4.2=h167e202_0
fontconfig=2.13.1=he4413a7_1000
freetype=2.9.1=h8a8886c_1
gast=0.2.2=py37_0
gettext=0.19.8.1=hc5be6a0_1002
glib=2.56.2=had28632_1001
gmp=6.1.2=hf484d3e_1000
gnutls=3.6.5=hd3a4fd2_1002
google-pasta=0.1.7=py_0
grpcio=1.16.1=py37hf8bcb03_1
gst-plugins-base=1.14.0=hbbd80ab_1
gstreamer=1.14.0=hb453b48_1
h5py=2.9.0=py37h7918eee_0
hdf5=1.10.4=hb1b8bf9_0
hypothesis=4.32.2=py37_0
icu=58.2=hf484d3e_1000
inflect=2.1.0=pypi_0
intel-openmp=2019.4=243
joblib=0.13.2=py_0
jpeg=9b=h024ee3a_2
keras-applications=1.0.8=py_0
keras-preprocessing=1.1.0=py_1
kiwisolver=1.1.0=py37hc9558a2_0
lame=3.100=h14c3975_1001
libedit=3.1.20181209=hc058e9b_0
libffi=3.2.1=hd88cf55_4
libflac=1.3.1=hf484d3e_1002
libgcc-ng=9.1.0=hdf63c60_0
libgfortran-ng=7.3.0=hdf63c60_0
libiconv=1.15=h516909a_1005
libogg=1.3.2=h14c3975_1001
libpng=1.6.37=hbc83047_0
libprotobuf=3.8.0=hd408876_0
librosa=0.7.0=py_0
libsndfile=1.0.28=hf484d3e_1000
libstdcxx-ng=9.1.0=hdf63c60_0
libtiff=4.0.10=h2733197_2
libuuid=2.32.1=h14c3975_1000
libvorbis=1.3.5=h14c3975_1001
libxcb=1.13=h14c3975_1002
libxml2=2.9.9=h13577e0_2
llvmlite=0.29.0=py37hfd453ef_1
markdown=3.1.1=py37_0
matplotlib=2.2.2=py37hb69df0a_2
mkl=2019.4=243
mkl-service=2.0.2=py37h7b6447c_0
mkl_fft=1.0.14=py37ha843d7b_0
mkl_random=1.0.2=py37hd81dba3_0
ncurses=6.1=he6710b0_1
nettle=3.4.1=h1bed415_1002
ninja=1.9.0=py37hfd86e86_0
numba=0.45.1=py37hb3f55d8_0
numpy=1.16.4=py37h7e9f1db_0
numpy-base=1.16.4=py37hde5b4d6_0
olefile=0.46=py37_0
openh264=1.8.0=hdbcaa40_1000
openssl=1.1.1d=h7b6447c_1
pandas=0.25.1=py37he6710b0_0
pcre=8.43=he6710b0_0
pip=19.2.2=py37_0
protobuf=3.8.0=py37he6710b0_0
pthread-stubs=0.4=h14c3975_1001
py4j=0.10.7=py37_0
pycparser=2.19=py37_0
pyparsing=2.4.2=py_0
pyqt=5.6.0=py37h13b7fb3_1008
pysoundfile=0.10.2=py_1001
pyspark=2.4.3=py_0
pysptk=0.1.17=pypi_0
python=3.7.4=h265db76_1
python-dateutil=2.8.0=py_0
pytorch=0.4.1=py37_py36_py35_py27__9.0.176_7.1.2_2
pytz=2019.2=py_0
qt=5.6.3=h8bf5577_3
readline=7.0=h7b6447c_5
resampy=0.2.2=py_0
scikit-learn=0.21.2=py37hd81dba3_0
scipy=1.3.1=pypi_0
seaborn=0.9.0=pypi_0
setuptools=41.0.1=py37_0
sip=4.18.1=py37hf484d3e_1000
six=1.12.0=py37_0
sqlite=3.29.0=h7b6447c_0
tensorboard>=1.15.0
tensorflow>=1.15.0
tensorflow-base>=1.15.0
tensorflow-estimator=1.14.0=py_0
tensorflow-gpu>=1.15.0
termcolor=1.1.0=py37_1
tk=8.6.8=hbc83047_0
torchvision=0.2.1=py_2
tornado=6.0.3=py37h516909a_0
unidecode=1.0.23=py37_0
werkzeug=0.15.5=py_0
wheel=0.33.4=py37_0
wrapt=1.11.2=py37h7b6447c_0
x264=1!152.20180806=h14c3975_0
xorg-libxau=1.0.9=h14c3975_0
xorg-libxdmcp=1.1.3=h516909a_0
xz=5.2.4=h14c3975_4
zlib=1.2.11=h7b6447c_3
zstd=1.3.7=h0b5b093_0