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from fastai2.text.all import *
import html
from IPython.display import display, HTML
import matplotlib.cm as cm
def _eval_dropouts(mod):
module_name = mod.__class__.__name__
if 'Dropout' in module_name or 'BatchNorm' in module_name: mod.training = False
for module in mod.children(): _eval_dropouts(module)
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kill $(ps aux | grep './ngrok' | awk '{print $2}')
perl -pi -e 's|execution_count": null|execution_count": 1|g' course-v4/nbs/*ipynb
nohup jupyter notebook --no-browser --allow-root --ip=0.0.0.0&
@muellerzr
muellerzr / debuggingtabularissue.ipynb
Created November 7, 2020 05:18
DebuggingTabularIssue.ipynb
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@muellerzr
muellerzr / tabular-export-learner-testing.ipynb
Created November 12, 2020 15:30
tabular-export-learner-testing.ipynb
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muellerzr / tabular-export-learner-testing.ipynb
Created November 13, 2020 15:01
tabular-export-learner-testing.ipynb
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muellerzr / classification-interpretation-smaller-memory.ipynb
Created January 2, 2021 19:50
Classification Interpretation Smaller Memory.ipynb
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