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import os | |
import pandas as pd | |
from tensorboard.backend.event_processing.event_accumulator import EventAccumulator | |
from tqdm import tqdm | |
from pathlib import Path | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import clipboard | |
import base64 | |
from io import BytesIO |
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import clipboard | |
import os | |
from pathlib import Path | |
import re | |
def apply_transforms(txt, list_of_trans): | |
for trans in list_of_trans: | |
txt = trans(txt) | |
return txt |
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import os | |
from glob import glob | |
from pathlib import Path | |
import re | |
#%% | |
main_dir = Path("./docs/") # Change this to where your Obsidian Vault notes are | |
# %% | |
files = glob(str(main_dir) + "/**/*.md", recursive=True) # This looks at all markdown files | |
files.sort() |
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pdfannots <filename> | |
# eg : pdfannots /Users/eragon/Documents/paper.pdf |
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pip install pdfannots |
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\bibliographystyle{IEEEtran} | |
\bibliography{references} | |
\end{document} |
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\section{Citation Example} | |
Two interesting libraries are Kornia \cite{riba2020kornia} and fast.ai \cite{howard2020fastai}. If you want it inline then : \citep{howard2020fastai}. |
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%\newpage %add this if you want it to be on a separate page | |
\begin{appendix} | |
\listoffigures | |
\listoftables | |
\end{appendix} |
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\tableofcontents |
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\begin{titlepage} | |
\begin{center} | |
\vspace*{1cm} | |
\textbf{Thesis Title} | |
\vspace{0.5cm} | |
Thesis Subtitle | |
\vspace{1.5cm} |