Quebecisnice's Stars
rmcelreath/rethinking
Statistical Rethinking course and book package
soulmachine/acm-cheat-sheet
Acm Cheat Sheet
HoTT/book
A textbook on informal homotopy type theory
karlseguin/the-little-mongodb-book
The Little MongoDB Book
mavam/stat-cookbook
:orange_book: The probability and statistics cookbook
clever-algorithms/CleverAlgorithms
Clever Algorithms: Nature-Inspired Programming Recipes
deedy/Deedy-Resume
A one page , two asymmetric column resume template in XeTeX that caters to an undergraduate Computer Science student
soulmachine/machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
cplusplus/draft
C++ standards drafts
scalawithcats/scala-with-cats
Source code for Scala with Cats
jemmybutton/byrne-euclid
MetaPost + TeX rendition of Oliver Byrne's "The first six books of the Elements of Euclid"
terryum/awesome-deep-learning-papers
The most cited deep learning papers
posquit0/Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
cebe/pdfpc-latex-notes
Latex Package that allows creating a pdfpc compatible notes file directly from your latex presentation \notes.
reutenauer/polyglossia
An alternative to Babel for XeLaTeX and LuaLaTeX
seeingtheory/Seeing-Theory
A visual introduction to probability and statistics.
BIT-thesis/LaTeX-template
LaTeX template for BIT thesis
trentpolack/joymachine-public
All sorts of random publicly-available information, assets, scripts, and more as we (Joy Machine) work on our projects.
rstudio/rticles
LaTeX Journal Article Templates for R Markdown
Robinlovelace/Creating-maps-in-R
Introductory tutorial on graphical display of geographical information in R.
AllenDowney/ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
wuzhouhui/awk
The AWK Programming Language (AWK 程序设计语言, awkbook) 中文翻译, LaTeX 排版
saadq/resumake.io
📝 A website for automatically generating elegant LaTeX resumes.
tuhdo/os01
Bootstrap yourself to write an OS from scratch. A book for self-learner.
tldr-pages/tldr
📚 Collaborative cheatsheets for console commands
tomepel/Technical_Book_DL
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
thomasp85/lime
Local Interpretable Model-Agnostic Explanations (R port of original Python package)
lgreski/datasciencectacontent
repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera
rstudio/tensorflow
TensorFlow for R
benmarwick/rrtools
rrtools: Tools for Writing Reproducible Research in R