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environment.yml
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environment.yml
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name: NLP
channels:
- huggingface
- pytorch
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- argon2-cffi=20.1.0=py37h4abf009_2
- async_generator=1.10=py_0
- attrs=20.3.0=pyhd3deb0d_0
- backcall=0.2.0=pyh9f0ad1d_0
- backports=1.0=py_2
- backports.functools_lru_cache=1.6.1=py_0
- blas=1.0=mkl
- bleach=3.2.1=pyh9f0ad1d_0
- brotlipy=0.7.0=py37h27cfd23_1003
- ca-certificates=2020.12.8=h06a4308_0
- certifi=2020.12.5=py37h89c1867_1
- cffi=1.14.4=py37h261ae71_0
- chardet=4.0.0=py37h06a4308_1003
- click=7.1.2=py_0
- cryptography=3.3.1=py37h3c74f83_0
- cudatoolkit=11.0.221=h6bb024c_0
- dataclasses=0.7=py37_0
- decorator=4.4.2=py_0
- defusedxml=0.6.0=py_0
- entrypoints=0.3=pyhd8ed1ab_1003
- filelock=3.0.12=py_0
- freetype=2.10.4=h5ab3b9f_0
- idna=2.10=py_0
- importlib-metadata=3.4.0=py37h89c1867_0
- importlib_metadata=3.4.0=hd8ed1ab_0
- intel-openmp=2020.2=254
- ipykernel=5.4.2=py37h888b3d9_0
- ipython=7.19.0=py37h888b3d9_0
- ipython_genutils=0.2.0=py_1
- ipywidgets=7.6.3=pyhd3deb0d_0
- jedi=0.18.0=py37h89c1867_2
- jinja2=2.11.2=pyh9f0ad1d_0
- joblib=1.0.0=pyhd3eb1b0_0
- jpeg=9b=h024ee3a_2
- jsonschema=3.2.0=py_2
- jupyter_client=6.1.11=pyhd8ed1ab_1
- jupyter_core=4.7.0=py37h89c1867_0
- jupyterlab_pygments=0.1.2=pyh9f0ad1d_0
- jupyterlab_widgets=1.0.0=pyhd8ed1ab_1
- lcms2=2.11=h396b838_0
- ld_impl_linux-64=2.33.1=h53a641e_7
- libedit=3.1.20191231=h14c3975_1
- libffi=3.3=he6710b0_2
- libgcc-ng=9.1.0=hdf63c60_0
- libpng=1.6.37=hbc83047_0
- libprotobuf=3.13.0.1=hd408876_0
- libsodium=1.0.18=h36c2ea0_1
- libstdcxx-ng=9.1.0=hdf63c60_0
- libtiff=4.1.0=h2733197_1
- libuv=1.40.0=h7b6447c_0
- lz4-c=1.9.2=heb0550a_3
- markupsafe=1.1.1=py37hb5d75c8_2
- mistune=0.8.4=py37h4abf009_1002
- mkl=2020.2=256
- mkl-service=2.3.0=py37he8ac12f_0
- mkl_fft=1.2.0=py37h23d657b_0
- mkl_random=1.1.1=py37h0573a6f_0
- nbclient=0.5.1=py_0
- nbconvert=6.0.7=py37h89c1867_3
- nbformat=5.0.8=py_0
- ncurses=6.2=he6710b0_1
- nest-asyncio=1.4.3=pyhd8ed1ab_0
- ninja=1.10.2=py37hff7bd54_0
- notebook=6.1.6=py37h89c1867_0
- numpy-base=1.19.2=py37hfa32c7d_0
- olefile=0.46=py37_0
- openssl=1.1.1i=h27cfd23_0
- packaging=20.8=pyhd3deb0d_0
- pandoc=2.11.3.2=h7f98852_0
- pandocfilters=1.4.2=py_1
- parso=0.8.1=pyhd8ed1ab_0
- pexpect=4.8.0=pyh9f0ad1d_2
- pickleshare=0.7.5=py_1003
- pillow=8.1.0=py37he98fc37_0
- pip=20.3.3=py37h06a4308_0
- prometheus_client=0.9.0=pyhd3deb0d_0
- prompt-toolkit=3.0.10=pyha770c72_0
- ptyprocess=0.7.0=pyhd3deb0d_0
- pycparser=2.20=pyh9f0ad1d_2
- pygments=2.7.3=pyhd8ed1ab_0
- pyopenssl=20.0.1=pyhd3eb1b0_1
- pyparsing=2.4.7=pyh9f0ad1d_0
- pyrsistent=0.17.3=py37h4abf009_1
- pysocks=1.7.1=py37_1
- python=3.7.9=h7579374_0
- python-dateutil=2.8.1=py_0
- python_abi=3.7=1_cp37m
- pytorch=1.7.1=py3.7_cuda11.0.221_cudnn8.0.5_0
- pyzmq=20.0.0=py37h5a562af_1
- readline=8.0=h7b6447c_0
- regex=2020.11.13=py37h27cfd23_0
- requests=2.25.1=pyhd3eb1b0_0
- sacremoses=master=py_0
- send2trash=1.5.0=py_0
- setuptools=51.1.2=py37h06a4308_3
- six=1.15.0=pyh9f0ad1d_0
- sqlite=3.33.0=h62c20be_0
- terminado=0.9.2=py37h89c1867_0
- testpath=0.4.4=py_0
- tk=8.6.10=hbc83047_0
- tokenizers=0.9.4=py37_0
- torchaudio=0.7.2=py37
- torchvision=0.8.2=py37_cu110
- tornado=6.1=py37h4abf009_0
- traitlets=5.0.5=py_0
- transformers=4.2.1=pyh7b7c402_0
- typing_extensions=3.7.4.3=py_0
- urllib3=1.26.2=pyhd3eb1b0_0
- wcwidth=0.2.5=pyh9f0ad1d_2
- webencodings=0.5.1=py_1
- wheel=0.36.2=pyhd3eb1b0_0
- widgetsnbextension=3.5.1=py37h89c1867_4
- xz=5.2.5=h7b6447c_0
- zeromq=4.3.3=h58526e2_3
- zipp=3.4.0=py_0
- zlib=1.2.11=h7b6447c_3
- zstd=1.4.5=h9ceee32_0
- pip:
- absl-py==0.11.0
- astunparse==1.6.3
- blis==0.7.4
- cachetools==4.2.0
- catalogue==1.0.0
- compress-json==1.0.4
- cycler==0.10.0
- cymem==2.0.5
- emoji==0.6.0
- flatbuffers==1.12
- gast==0.3.3
- gensim==3.8.3
- google-auth==1.24.0
- google-auth-oauthlib==0.4.2
- google-pasta==0.2.0
- grpcio==1.32.0
- h5py==2.10.0
- keras-preprocessing==1.1.2
- kiwisolver==1.3.1
- markdown==3.3.3
- matplotlib==3.3.3
- murmurhash==1.0.5
- nltk==3.5
- numpy==1.19.5
- oauthlib==3.1.0
- opt-einsum==3.3.0
- pandas==1.2.0
- plac==1.1.3
- plot-keras-history==1.1.27
- preshed==3.0.5
- protobuf==3.14.0
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- pytz==2020.5
- requests-oauthlib==1.3.0
- rsa==4.7
- sanitize-ml-labels==1.0.24
- scikit-learn==0.24.0
- scipy==1.6.0
- sklearn==0.0
- smart-open==4.1.0
- spacy==2.3.5
- srsly==1.0.5
- tensorboard==2.4.1
- tensorboard-plugin-wit==1.7.0
- tensorflow==2.4.0
- tensorflow-estimator==2.4.0
- termcolor==1.1.0
- thinc==7.4.5
- threadpoolctl==2.1.0
- tqdm==4.56.0
- tweet-preprocessor==0.6.0
- wasabi==0.8.0
- werkzeug==1.0.1
- wrapt==1.12.1
prefix: /home/omar/anaconda3/envs/NLP