{overleaf template gallery}LaTeX templates — Recent

Proceedings of JuliaCon template. Official link to conference website: https://juliacon.org/2025/ Submission guidelines: https://proceedings.juliacon.org Additional link to template repository: https://github.com/JuliaCon/JuliaConSubmission.jl/tree/master/paper

本文为湖北大学理工科研究生毕业论文模板，请务必打开之后在左上角菜单栏中切换编译器，依据湖北大学研究生毕业论文格式要求整理，详情及联系方式请见摘要模板主页：https://gs.hubu.edu.cn/info/1033/10246.htm

The official HPI template of the Algorithm Engineering group for PhD theses. For a license statement, please refer to DISCLAIMER.txt in the template. Although this template is designed for the HPI, it can be easily adjusted for other institutions as well.

The official HPI template of the Algorithm Engineering group for bachelor and master theses. For a license statement, please refer to DISCLAIMER.txt in the template. Although this template is designed for the HPI, it can be easily adjusted for other institutions as well.

Association for Computational Linguistics style files

This is the official template accepted and under the guideline of Towson Univeristy Graduate School https://www.towson.edu/academics/graduate/resources-current/theses-dissertations.html https://www.towson.edu/academics/graduate/office/documents/2025guidelines.pdf

This template contains details on how to prepare and submit your articles for publication in The Publications of the Astronomical Society of the Pacific. It is a modified version of the sample701.tex template from The American Astronomical Society (AAS) markup package. The latest LaTeX classfile is AASTeX v7.0.1 and it can be obtained here. The PASPsample701.tex template uses this classfile. Once your manuscript is complete, please visit this page to submit your manuscript: https://mc04.manuscriptcentral.com/pasp.

Wzór pracy dyplomowej dla Wydziału mechanicznego Politechniki Krakowskiej data wykonania: 23.07.2025 Na podstawie wzoru z https://mech.pk.edu.pl/studenci/praca-dyplomowa/

This is the thesis template for the Chairs of Digital Innovation and the Public Sector, Machine Learning and Data Engineering, and Information Systems and Business Process Management from the University of Münster. Further information can be found on the department website: https://www.wi.uni-muenster.de/student-affairs/theses https://www.wi.uni-muenster.de/department/dips/procedure-writing-your-thesis https://www.wi.uni-muenster.de/student-affairs/downloads