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A gallery of up-to-date and stylish LaTeX templates, examples to help you learn LaTeX, and papers and presentations published by our community. Search or browse below.

Méthode de dissertation
Méthode de dissertation
%Modèle de plan pour réaliser une dissertation de philosophie. %
Prof de philosophie
浙江大学毕业设计/论文模板 zjuthesis
浙江大学毕业设计/论文模板 zjuthesis
本模板来源于https://github.com/TheNetAdmin/zjuthesis 的 4.0.4 版本,并作出如下修改: 删除了 .latexmkrc 文件以确保 overleaf 可以编译 删除了仿宋字体设置以确保 overleaf 编译不超时 具体使用说明参见原始页面,本模板不保证与原始模板同步更新,需要使用最新版本请参考 GitHub 主页。
Zixuan Wang
Neural Network Basic to Application
Neural Network Basic to Application
Explaining of Neural Network by painting style transfer
Kim Woo Hyun
Thesis template (article-based) for University of Bergen
Thesis template (article-based) for University of Bergen
University of Bergen PhD thesis template (article based)
Stephan Kral, Kjersti Birkeland Daae, Tore Birkeland and Raymond Nepstad
QM_hw
QM_hw
homework on quantum mechanics course
Stas Kelvich
ตัวอย่างการใช้ UTF-8
ตัวอย่างการใช้ UTF-8
This example shows how to set up the thailatex package to write in Thai and several other languages using UTF-8 encoding and the babel package. The thailatex package lets you use the standard latex document classes, such as article to write texts in the Thai language.
Theppitak Karoonboonyanan
Poster for Derivative Applications course presentation
Poster for Derivative Applications course presentation
Poster to present results on derivative apps
MSc. Fausto M. Lagos S.
Template for Radiation Protection Dosimetry (RPD)
Template for Radiation Protection Dosimetry (RPD)
RPD publishes peer-reviewed papers covering all aspects of personal and environmental dosimetry and monitoring for both ionising and non-ionising radiations. This includes biological aspects, physical concepts, biophysical dosimetry, external and internal personal dosimetry and monitoring, environmental and workplace monitoring and accident dosimetry and dosimetry related to the protection of patients. For more information about the journal, see http://rpd.oxfordjournals.org/.
Oxford University Press (Uploaded by Lian Tze Lim)
GENE 245 Project Machine Learning for HiC data
GENE 245 Project Machine Learning for HiC data
In this work we apply machine learning as a conducive method towards identifying previously unstudied patterns in chromosome interaction data sets. We rst use supervised learning to show that patterns identi ed by a user can be learned by tensor ow models, and then transition into unsupervised methods to delve even more deeply into the possibilities of discovery without human intervention.
Lan Huong Nguyen, Dan Iter, Robert Bierman