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#python #chinese #english #japanese #korean #latex #openai #pdf #pdf2zh #russian #translation

This tool, called PDFMathTranslate, helps you translate scientific PDF papers while keeping formulas, charts, and other important parts intact. You can use it in several ways: through a command line, an interactive user interface, or using Docker. It supports multiple languages and various translation services like Google, DeepL, and more. You can even try it online without installing anything. This makes it easier to understand and work with documents in different languages, saving you time and effort.

https://github.com/Byaidu/PDFMathTranslate
#python #arxiv #latex

The `arxiv_latex_cleaner` tool helps you prepare your LaTeX paper for submission to arXiv. It cleans your LaTeX code by removing unnecessary files, comments, and unused images, and it can also resize images to fit within the 50MB size limit. Here’s how it benefits you It removes comments and auxiliary files, keeping your code private.
- **Size** You can configure it using a simple YAML file or command-line options.
- **Customization**: You can define custom rules to replace specific LaTeX commands or environments.

Overall, it makes submitting your paper to arXiv much easier and ensures your submission meets the required standards.

https://github.com/google-research/arxiv-latex-cleaner
#python #cjk_fonts #ieee_paper #latex #matplotlib_figures #matplotlib_style_sheets #matplotlib_styles #python #scientific_papers #thesis_template

SciencePlots is a tool that helps you make your graphs look professional for scientific papers and presentations. It uses Matplotlib styles to create simple, informative plots like those in academic journals. To use it, you need to install SciencePlots with `pip` and have LaTeX installed on your computer. Then, you can easily change the style of your plots by adding a few lines of code, such as `plt.style.use('science')`. This makes your figures consistent and high-quality, which is important when publishing research[1][2].

https://github.com/garrettj403/SciencePlots