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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.

Lecture Note Template
This template can be useful when creating lecture notes. Clear theorem style and useful equations and tikz example. Easy to add chapters.
Naijia Fan

CS6780 Assignment Template
Assignment solutions template for CS 6780 Cornell
Ashudeep Singh

practica 1
Template for the class practice 1.
MSc. Fausto M. Lagos S.

The University of Sheffield, Computer Science Report
This is an unofficial version.
Prof. Roger k. Moore

novoid-LaTeX-KOMA-template
The template provided at https://github.com/novoid/LaTeX-KOMA-template with some minor corrections/updates.
This is a generic template for LaTeX documents using KOMA Script classes which are pretty common at least in German spoken countries.
Karl Voit

Literature Review On Automated IDS
This is a review of journals in the area
of using Artificial Intelligence for Intrusion Detection
and Prevention Systems. The journals have discussed the
milestones that have been achieved in the area of network
security particularly intrusion detection. They has also
highlighted several Machine Learning algorithms that
can be applied in this area to improve the IDS systems.
Narshion Ngao

Project Proposal Template
Fill the details accordingly
Vishnu

Emmy Noether
Short biography of mathematician Emmy Noether
Theresa Dewa

NanoJ: a high-performance open-source super-resolution microscopy toolbox
Super-resolution microscopy has become essential for the study of nanoscale biological processes. This type of imaging often requires the use of specialised image analysis tools to process a large volume of recorded data and extract quantitative information. In recent years, our team has built an open-source image analysis framework for super-resolution microscopy designed to combine high performance and ease of use. We named it NanoJ - a reference to the popular ImageJ software it was developed for. In this paper, we highlight the current capabilities of NanoJ for several essential processing steps: spatio-temporal alignment of raw data (NanoJ-Core), super-resolution image reconstruction (NanoJ-SRRF), image quality assessment (NanoJ-SQUIRREL), structural modelling (NanoJ-VirusMapper) and control of the sample environment (NanoJ-Fluidics). We expect to expand NanoJ in the future through the development of new tools designed to improve quantitative data analysis and measure the reliability of fluorescent microscopy studies.
Romain F. Laine, Kalina L. Tosheva, Nils Gustafsson, Robert D. M. Gray, Pedro Almada, David Albrecht, Gabriel T. Risa, Fredrik Hurtig, Ann-Christin Lindås, Buzz Baum, Jason Mercer, Christophe Leterrier, Pedro M. Pereira, Siân Culley, Ricardo Henriques