rng0x17's Stars
lkwq007/stablediffusion-infinity
Outpainting with Stable Diffusion on an infinite canvas
carlosedp/b612
Eclipse B612
ekaitz-zarraga/b612
Eclipse B612
tsoding/nn.h
Simple stb-style header-only library for Neural Networks
simple-icons/simple-icons
SVG icons for popular brands
badges/shields
Concise, consistent, and legible badges in SVG and raster format
devicons/devicon
Set of icons representing programming languages, designing & development tools
ra1nty/DXcam
A Python high-performance screen capture library for Windows using Desktop Duplication API
madslundt/keybindings
Remap arrow keys to ijkl and make use of caps lock
cryinkfly/Autodesk-Fusion-360-for-Linux
This is a project, where I give you a way to use Autodesk Fusion 360 on Linux!
neuralmagic/deepsparse
Sparsity-aware deep learning inference runtime for CPUs
fastai/fastbook
The fastai book, published as Jupyter Notebooks
rorydavidson/owncloud-nginx-letsencrypt-docker
Docker compose and information to run ownCloud with an Nginx proxy and LetsEncrypt
cs8898/thi-beamer-style
Beamer Template THI
archivy/archivy
Archivy is a self-hostable knowledge repository that allows you to learn and retain information in your own personal and extensible wiki.
gkunapuli/ensemble-methods-notebooks
A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
danielbe1/github-rpg
A Github -> Habitica integration that manages Github issues as Habitica todo tasks
MartinHeinz/python-project-blueprint
Blueprint/Boilerplate For Python Projects
qiaoxu123/Self-Driving-Cars
Coursera Open Courses from University of Toronto
akumuli/Akumuli
Time-series database
AI-Guru/dqn_playground
fastai/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
myaooo/RNNVis
A visualization tool for understanding and debugging RNNs
janjagusch/dota-2-ai-coach
We use cutting edge AI to improve your Dota 2 skills.
platformsh/apidays2018-workshop
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning