Carda01's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
neovim/neovim
Vim-fork focused on extensibility and usability
3b1b/manim
Animation engine for explanatory math videos
docker/awesome-compose
Awesome Docker Compose samples
sharkdp/fd
A simple, fast and user-friendly alternative to 'find'
Textualize/textual
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
ReVanced/revanced-manager
💊 Application to use ReVanced on Android
iggredible/Learn-Vim
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
microsoft/pyright
Static Type Checker for Python
junegunn/fzf.vim
fzf :heart: vim
chmln/sd
Intuitive find & replace CLI (sed alternative)
DenverCoder1/readme-typing-svg
âš¡ Dynamically generated, customizable SVG that gives the appearance of typing and deleting text for use on your profile page, repositories, or website.
libratbag/piper
GTK application to configure gaming devices
dair-ai/Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning
microsoft/BioGPT
libratbag/libratbag
A DBus daemon to configure input devices, mainly high-end and gaming mice
holtzy/The-Python-Graph-Gallery
A website displaying hundreds of charts made with Python
arscan/encom-globe
🌎 WebGL globe based on the boardroom scene from Tron: Legacy
luk400/vim-jukit
Jupyter-Notebook inspired Neovim/Vim Plugin
tuan3w/obsidian-template
Starter templates for Obsidian
GuidoPenta/galactic-CV-guide
Tips & Tricks to write a great CV
Kasper24/KwesomeDE
A desktop environment made in AwesomeWM
raven2cz/awesomewm-config
RAVEN2CZ: AwesomeWM Configuration, Libraries and Themes.
drahenprofi/dotfiles
Arch Linux dotfiles
gvoze32/Mainte
A simple and functional conky theme.
slashedzer0/nobara-dotfiles
I believe in Nobara supremacy
tuhinpal/readme-stats-github
Generate your GitHub's Stats in SVG
EmanuelOverflow/LSTM-TensorSpark
Implementation of a LSTM with TensorFlow and distributed on Apache Spark
PacktPublishing/Apache-Spark-Deep-Learning-Recipes
Apache Spark Deep Learning Recipes, published by Packt Publishing
tapunict/tap2023