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requirements.txt
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# conda create -n asrep tensorflow-gpu==1.12 python==3.6.13
numpy==1.16.4
scikit-learn
tqdm
# # 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=0.6.1=py36_0
# asn1crypto=0.24.0=py36_0
# astor=0.7.1=py36_0
# bert-serving-client=1.10.0=pypi_0
# bert-serving-server=1.10.0=pypi_0
# bert-tensorflow=1.0.1=pypi_0
# blas=1.0=mkl
# bleach=1.5.0=py36_0
# boto=2.49.0=py36_0
# boto3=1.9.111=py_0
# botocore=1.12.112=py_0
# bz2file=0.98=py36_1
# c-ares=1.15.0=h7b6447c_1
# ca-certificates=2019.11.28=hecc5488_0
# certifi=2019.11.28=py36_0
# cffi=1.11.5=py36he75722e_1
# chardet=3.0.4=py36_1
# cloudpickle=0.8.0=py36_0
# configparser=5.0.0=pypi_0
# cryptography=2.5=py36h1ba5d50_0
# cudatoolkit=9.0=h13b8566_0
# cudnn=7.3.1=cuda9.0_0
# cupti=9.0.176=0
# cymem=1.31.2=py36h6bb024c_0
# cytoolz=0.9.0.1=py36h14c3975_1
# dill=0.2.8.2=py36_0
# docutils=0.14=py36_0
# en-core-web-lg=2.0.0=pypi_0
# en-core-web-sm=2.0.0=pypi_0
# gast=0.2.0=py36_0
# gensim=3.8.0=py36h962f231_0
# gputil=1.4.0=pypi_0
# grpcio=1.16.1=py36hf8bcb03_1
# h5py=2.9.0=py36h7918eee_0
# hdf5=1.10.4=hb1b8bf9_0
# html5lib=0.9999999=py36_0
# idna=2.8=py36_0
# intel-openmp=2019.1=144
# jmespath=0.9.4=py_0
# keras=2.3.1=py36_0
# keras-applications=1.0.8=py_1
# keras-preprocessing=1.1.0=py_0
# libedit=3.1.20170329=h6b74fdf_2
# libffi=3.2.1=hd88cf55_4
# libgcc-ng=8.2.0=hdf63c60_1
# libgfortran-ng=7.3.0=hdf63c60_0
# libgpuarray=0.7.6=h14c3975_1003
# libprotobuf=3.6.1=hd408876_0
# libstdcxx-ng=8.2.0=hdf63c60_1
# lightgbm=2.2.1=py36he6710b0_0
# llvmlite=0.31.0=pypi_0
# mako=1.1.0=py_0
# markdown=3.0.1=py36_0
# markupsafe=1.1.1=py36h516909a_0
# mkl=2019.4=243
# mkl-service=2.3.0=py36he904b0f_0
# mkl_fft=1.0.12=py36ha843d7b_0
# mkl_random=1.0.2=py36hd81dba3_0
# mock=2.0.0=py36_0
# msgpack-python=0.6.1=py36hfd86e86_1
# murmurhash=0.26.4=py36_0
# ncurses=6.1=he6710b0_1
# networkx=2.4=pypi_0
# ninja=1.9.0=py36hfd86e86_0
# nltk=3.2.4=py36_0
# numba=0.47.0=pypi_0
# numpy=1.16.5=py36h7e9f1db_0
# numpy-base=1.16.5=py36hde5b4d6_0
# openssl=1.1.1d=h516909a_0
# packaging=19.0=py36_0
# pbr=5.1.3=py_0
# pip=18.1=py36_0
# plac=0.9.6=py36_0
# preshed=0.46.4=py36_0
# protobuf=3.6.1=py36he6710b0_0
# pycparser=2.19=py36_0
# pygpu=0.7.6=py36hc1659b7_1000
# pyopenssl=19.0.0=py36_0
# pyparsing=2.4.0=py_0
# pysocks=1.6.8=py36_0
# python=3.6.7=h0371630_0
# python-dateutil=2.8.0=py36_0
# pytz=2018.9=py36_0
# pyyaml=5.1=py36h7b6447c_0
# pyzmq=19.0.0=pypi_0
# readline=7.0=h7b6447c_5
# regex=2018.11.22=py36h7b6447c_0
# requests=2.21.0=py36_0
# s3transfer=0.2.0=py36_0
# scikit-learn=0.20.3=py36hd81dba3_0
# scipy=1.2.1=py36h7c811a0_0
# semver=2.8.1=py36_1
# sentencepiece=0.1.84=pypi_0
# setuptools=39.1.0=pypi_0
# six=1.12.0=py36_0
# smart_open=1.8.4=py_0
# sputnik=0.9.3=py36_2
# sqlite=3.26.0=h7b6447c_0
# tensorboard=1.13.1=py36hf484d3e_0
# tensorflow=1.13.1=gpu_py36h26cf82e_0
# tensorflow-base=1.13.1=gpu_py36h8f37b9b_0
# tensorflow-estimator=1.13.0=py_0
# tensorflow-gpu=1.13.1=h0d30ee6_0
# tensorflow-hub=0.7.0=pyhe1b5a44_0
# termcolor=1.1.0=py36_1
# textblob=0.15.3=py_0
# theano=1.0.3=py36hfc679d8_1
# tk=8.6.8=hbc83047_0
# toolchain=2.4.0=0
# toolchain_c_linux-64=2.4.0=0
# toolchain_cxx_linux-64=2.4.0=0
# toolz=0.9.0=py36_0
# tqdm=4.29.1=py_0
# ujson=1.35=py36h14c3975_0
# urllib3=1.24.1=py36_0
# werkzeug=0.14.1=py36_0
# wheel=0.32.3=py36_0
# wrapt=1.10.11=py36h14c3975_2
# xz=5.2.4=h14c3975_4
# yaml=0.1.7=had09818_2
# zlib=1.2.11=h7b6447c_3