posquit0 / Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
posquit0 / Awesome-CV
tuhdo / os01
Bootstrap yourself to write an OS from scratch. A book for self-learner.
rstudio / cheatsheets
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
cs341-illinois / coursebook
Open Source Introductory Systems Programming Textbook for the University of Illinois
hendricius / the-sourdough-framework
Open source book dedicated to helping you to make the best possible sourdough bread at home.
the-turing-way / the-turing-way
Book repository for The Turing Way: a how to guide for reproducible, ethical and collaborative data science
latex3 / latex3
The expl3 (LaTeX3) Development Repository
arviz-devs / arviz
Exploratory analysis of Bayesian models with Python
AllenDowney / ThinkBayes
Code repository for Think Bayes.
wuyoscar / AISafetyHot-Hub
Safety News & Research Monitor. https://aisafetyhot.com
anishathalye / gemini
Gemini is a modern LaTex beamerposter theme ๐ผ
mit-pdos / xv6-riscv-book
Text describing xv6 on RISC-V
fabiotosi92 / Awesome-Deep-Stereo-Matching
A curated list of awesome Deep Stereo Matching resources
AllenDowney / ThinkOS
Text and supporting code for Think OS: A Brief Introduction to Operating Systems, by Allen Downey.
OsbertWang / install-latex-guide-zh-cn
ไธไปฝ็ฎ็ญ็ๅ ณไบ LaTeX ๅฎ่ฃ ็ไป็ป
Eurekaleo / awesome-ai-for-games
A curated, searchable collection of research on AI and foundation models across the game lifecycle.
Aschulz94 / AvHumboldtPostdocGuide
A step-by-step guide, downloadable templates, and real examples from successful applications for the Alexander von Humboldt Research Fellowship (postdoc and experienced researcher tracks).
Open-Science-Ledger / how-to-train-your-slop-cannon
How to train your slop cannon: a short guide to using large language models for research in the natural sciences (Loader, Oppenheim, Osborne)
TUM-AVS / survey-physics-embedded-robot-learning
This repository collects our survey paper on embedding physics priors in robot learning