Auto‑Resubmit is an open‑source, rule‑based LaTeX tool that automatically extracts a paper’s content and rebuilds it into the template of another AI conference, supporting major venues such as ACL, NeurIPS, ICML, ICLR, CVPR, and AAAI, while running locally without internet.
This tutorial shows how to use LaTeX's TikZ and related packages to create high‑quality function plots, statistical charts, and geometric figures that integrate seamlessly with document text, offering step‑by‑step code examples and visual results.
This article introduces the latexify-py Python library for converting Python functions into LaTeX mathematical expressions, covering installation, version checking, example code using decorators, and displaying the generated LaTeX output, with screenshots and links for further reference.
latexify-py is a Python library that converts Python functions into LaTeX mathematical expressions, allowing you to install it via pip, check its version, decorate functions like a quadratic solver with @latexify.function to obtain both numeric results and the corresponding LaTeX formula, with source code available on GitHub.
This guide introduces Overleaf, an online LaTeX editor, and walks you through registration, project creation, document setup, common syntax for sections, fonts, lists, equations, tables, figures, and Chinese support, helping modeling competition teams produce professional papers efficiently.
Discover a curated list of powerful LaTeX utilities—including Overleaf for cloud-based authoring and sharing, live formula editors, versatile table converters, and the Mathpix OCR tool—that streamline document creation, simplify equation input, and dramatically improve efficiency for researchers and students alike.
This article introduces LaTeX, explains why it’s a powerful tool for academic writing, walks through using the Overleaf online editor, and covers essential syntax such as sections, fonts, lists, formulas, tables, images, and Chinese input for beginners.
Markdeep is an open‑source JavaScript plugin that turns any plain‑text file into a fully rendered Markdown document with support for tables, LaTeX equations, charts and even PPT‑style slides, requiring only a single markup line and no additional installations.
handcalcs is an open‑source Python library that automatically transforms calculation code into LaTeX‑styled formulas, offering Jupyter cell magic and decorator interfaces, customizable display options, and support for symbolic, short, and long representations, while noting limitations with collection types and variable reuse.
This article introduces latexify_py, an open‑source Python tool that automatically converts Python functions into LaTeX math expressions, dramatically simplifying the creation of complex formulas for research papers and eliminating the tedious manual editing in Word.
This article explains the challenges of creating a visual formula editor, compares common formula languages, details rendering techniques with LaTeX and MathJax, and proposes efficient interactive editing architectures and optimization strategies for both code‑based and visual editing workflows.
Struggling with complex equations in Word? The open‑source Python tool latexify_py converts Python expressions into clean LaTeX formulas, requiring only basic regex knowledge, and simplifies editing, piecewise functions, and more—making academic writing faster and error‑free.
This article presents a deep‑learning Seq2Seq model that converts images of mathematical formulas—including matrices, equations, fractions, and radicals—into LaTeX sequences with over 95% accuracy, detailing data preparation, LaTeX normalization, model architecture, training, inference, and post‑processing techniques.
This article introduces LaTeXila, a Linux‑friendly LaTeX editor, explains why LaTeX is preferred over traditional word processors, walks through creating and structuring new documents, demonstrates key features such as templates, sections, symbols, and shows how to export .tex files to RTF.
