new-optimization-algorithms-for-neural-network-training-using-operator-splitting-techniques/requirements.txt at master · titus-pinta/new-optimization-algorithms-for-neural-network-training-using-operator-splitting-techniques · GitHub

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backcall==0.1.0
blis==0.4.1
bourbaki.regex==0.1.7
catalogue==0.0.8
certifi==2019.11.28
chardet==3.0.4
cycler==0.10.0
cymem==2.0.3
decorator==4.4.1
dill==0.3.1.1
en==0.0.1
en-core-web-sm==2.2.5
future==0.18.2
idna==2.8
importlib-metadata==1.3.0
ipython==7.10.2
ipython-genutils==0.2.0
jedi==0.15.1
jieba==0.39
kiwisolver==1.1.0
matplotlib==3.1.2
more-itertools==8.0.2
murmurhash==1.0.2
nltk==3.4.5
numpy==1.17.4
pandas==0.25.3
parso==0.5.2
pexpect==4.7.0
pickleshare==0.7.5
Pillow==6.2.1
plac==1.1.3
preshed==3.0.2
prompt-toolkit==3.0.2
ptyprocess==0.6.0
Pygments==2.5.2
pyparsing==2.4.5
python-dateutil==2.8.1
pytorch-crf==0.7.0
pytorch-nlp==0.5.0
pytz==2019.3
regex==2019.12.9
requests==2.22.0
revtok==0.0.3
scikit-learn==0.20.2
scipy==1.3.3
seaborn==0.9.0
six==1.13.0
spacy==2.2.3
srsly==0.2.0
thinc==7.3.1
torch==1.0.0
torchnlp==0.0.0.1
torchtext==0.4.0
torchvision==0.4.2
tqdm==4.28.1
traitlets==4.3.3
urllib3==1.25.7
urlscan==0.9.4
urwid==2.1.0
virtualenv==16.7.9
wasabi==0.4.2
wcwidth==0.1.7
zipp==0.6.0