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def get_event_files(main_path) -> list:
    """Return a list of event files under the given directory"""
    all_files = []
    for root, _, filenames in os.walk(main_path):
        for filename in filenames:
            if "events.out.tfevents" in filename:
                all_files.append(str(Path(root) / Path(filename)))
    return all_files

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"""
Run result aggregator
- Read all tensorbord logs and save as a pandas dataframe for analysis
"""

import os
import pandas as pd
from tensorboard.backend.event_processing.event_accumulator import EventAccumulator
from tqdm import tqdm
from pathlib import Path

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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}