https://github.com/xinntao/handylatex
Collections of Beautiful Latex Snippets
https://github.com/xinntao/handylatex
Last synced: 10 days ago
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Collections of Beautiful Latex Snippets
- Host: GitHub
- URL: https://github.com/xinntao/handylatex
- Owner: xinntao
- License: mit
- Created: 2021-11-03T06:16:22.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2021-11-22T13:15:31.000Z (almost 4 years ago)
- Last Synced: 2025-05-06T19:49:11.924Z (5 months ago)
- Language: Python
- Size: 185 KB
- Stars: 16
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# HandyLatex
Collections of Beautiful Latex Snippets
## Table
:point_right: **Succinct table with bold separation line and gray text**
```latex
%################## Dependencies ##################
\usepackage{xcolor}
\definecolor{tablegray}{gray}{0.6}
\newcommand{\demph}[1]{\textcolor{tablegray}{#1}}
\usepackage{tabulary}
\newcolumntype{x}[1]{>{\centering\arraybackslash}p{#1pt}}
\newcommand{\tablestyle}[2]{\setlength{\tabcolsep}{#1}\renewcommand{\arraystretch}{#2}\centering\footnotesize}
\newlength\savewidth\newcommand\shline{\noalign{\global\savewidth\arrayrulewidth
\global\arrayrulewidth 1pt}\hline\noalign{\global\arrayrulewidth\savewidth}}
%##################################################################################################
\begin{table}[t]
\centering
\tablestyle{4pt}{1.1}
\begin{tabular}{l|x{32}x{32}x{32}x{32}}
model & MoCo v3 & SimCLR & BYOL & SwAV \\
\shline
\demph{R-50, 800-ep} & \demph{73.8} & \demph{70.4} & \demph{\textbf{74.3}} & \demph{71.8} \\
ViT-S, 300-ep & \textbf{72.5} & 69.0 & 71.0 & 67.1 \\
ViT-B, 300-ep & \textbf{76.5} & 73.9 & 73.9 & 71.6 \\
\end{tabular}
\vspace{.5em}
\caption{\textbf{ViT-S/16 and ViT-B/16 in different self-supervised learning frameworks} (ImageNet, linear probing).
R-50 results of other frameworks are from the improved implementation in \cite{Chen2021}. For fair comparisons, all are pre-trained with two 224$\times$224 crops for each image (multi-crop training \cite{Caron2020} could improve results, which is beyond the focus of this work).
\label{tab:vit_vs_frameworks}
}
\end{table}
%##################################################################################################
```
Source: Table 4 from [An Empirical Study of Training Self-Supervised Vision Transformers](https://arxiv.org/abs/2104.02057)
## Pseudocode