MetaumlUML diagrams for LaTeX/MetaPost
EuropasscvUnofficial LaTeX class for the new version of the Europass curriculum vitae
EntElementary Number Theory: Primes, Congruences, and Secrets
CalculonumericoEscrita colaborativa de recursos educacionais abertos sobre cálculo numérico.
TexstudioTeXstudio is a fully featured LaTeX editor. Our goal is to make writing LaTeX documents as easy and comfortable as possible.
Amr TutorialAbstract Meaning Representation (AMR) tutorial slides
OxforddownTemplate for writing an Oxford University thesis in R Markdown; uses the OxThesis LaTeX template and was inspired by thesisdown.
Dotfile🌹 🏘 🌱 My terminal looks like a garden.
Golegalcount number of legal positions in the game of go
Mazhe(almost) Everything I know in math.
UniquecvA simple resume template written in LaTeX
ThesisMy PhD thesis (eventually)
CshandbookA website for common computer science algorithms
Open OndemandSupercomputing. Seamlessly. Open, Interactive HPC Via the Web
Tongjithesis同济大学本科毕业设计LaTeX模板 LaTeX template for Tongji Undergaduate Thesis
LinlLinl Is Not Letter -- Markdown-based LaTeX Letter Template
Tex ResumeNot actively looking for work, but always interested in hearing about fun opportunities :-)
Smart Fancy Latex CvLaTeX template for CV or resume with modern and smart infographic-style elements including fontawesome support.
Orbit CvA LaTeX class for Résumés / CVs, based on the Orbit theme for Hugo
Vector EntailmentA suite of representation learning models for sentence embedding, and some tasks to evaluate them on.
Pandoc Academic PublicationCheck out the example at http://claymcleod.github.io/pandoc-academic-publication/examples/smart-objects-ieee/paper.html
SeuthesisLaTeX Thesis Template for Southeast University
Nus CheatsheetsHere be my collections of cheatsheets I made during my undergraduate studies in NUS.
ProtocolsA DSL for describing and implementing communication protocols
PretexLaTeX preprocessor to simplify math typesetting
Network Threats TaxonomyMachine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies