VinACE

import os

path = '/path/to/folder'

# Get all the .png files in the folder
files = [file for file in os.listdir(path) if file.endswith('.png')]

# Sort the files
files.sort()

VinACE

https://github.com/tianyu0207/RTFM

https://github.com/seominseok0429/Real-world-Anomaly-Detection-in-Surveillance-Videos-pytorch -->

https://github.com/fjchange/MIST_VAD-->

https://github.com/OmRajpurkar/Alert-Generation-on-Detection-of-Suspicious-Activity-using-Transfer-Learning

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https://www.kaggle.com/mlwhiz/multiclass-text-classification-pytorch

https://towardsdatascience.com/text-classification-with-state-of-the-art-nlp-library-flair-b541d7add21f
https://towardsdatascience.com/how-to-beat-automl-hyperparameter-optimisation-with-flair-3b2f5092d9f5

https://github.com/pytorch/text/blob/master/torchtext/experimental/datasets/text_classification.py

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https://www.math.utk.edu/~finotti/files/latex/LaTeX_Symbols.pdf --- symbol pdf...
https://tex.stackexchange.com/questions/345379/table-in-two-column

Latex_tables - two column width...
\begin{table*}[!hbt]
  \caption{Comparison of our evaluation scores with other references}\label{tab:apis}
  \small
  \begin{center}
    \begin{tabular}{|l|l|l|l|l|l|}

VinACE

The Python code to convert refs.bib file to bibitem file
python2 bibtex2item.py < refs.bib > bibitem.txt
https://tex.stackexchange.com/questions/124874/converting-to-bibitem-in-latex

# filename: bibtex2item.py
import sys

bibtex = sys.stdin.read()

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https://machinelearningmastery.com/precision-recall-and-f-measure-for-imbalanced-classification/ -- Calculate Recall With Scikit-Learn

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"""
# https://github.com/bentrevett/pytorch-seq2seq/issues/129
# https://github.com/bentrevett/pytorch-seq2seq/blob/master/6%20-%20Attention%20is%20All%20You%20Need.ipynb
"""
import torch
import torch.nn as nn
import torch.optim as optim

import torchtext
from torchtext.datasets import Multi30k

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> /content/trans-vsumm/seq_sum.py(78)forward()
-> src = layer(src, src_mask)
(Pdb) src.shape
torch.Size([461, 1024, 256])
(Pdb) src_mask.shape
torch.Size([461, 1, 1, 1024])


> /content/trans-vsumm/seq_sum.py(78)forward()
-> src = layer(src, src_mask)

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%xmode Verbose
%pdb on
from IPython.core.debugger import set_trace #set_trace()

VinACE

https://www.youtube.com/watch?v=UY7sVKJPTMA

> resist the temptation of procrastination
> review the latest happenings in your research area

> Have a outline of the paper so that you can start from where you have left
Tables of  data , Figures.. put them in order... Logical sequence..like you arrange for a talk..

Don't write the introduction/Abstract.. at this time..