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Lists (16)
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awesomes
Some awesomes.courses
cybersec
dot-files
Tools i'm using or I could use for my personal dot files.friends
hardware
hyprland
keyboards
kitty
machine learning
nix
nvim plugins
Neovim plugins that I either use or want to keep an eye on.OR/CO
Operational Research / Combinatorial Optimizationpython tools
rust tools
utils
Tools that can be handy.Stars
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Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
A feature-rich command-line audio/video downloader
Command-line program to download videos from YouTube.com and other video sites
Godot Engine – Multi-platform 2D and 3D game engine
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Vim-fork focused on extensibility and usability
High performance self-hosted photo and video management solution.
An extremely fast Python package and project manager, written in Rust.
Free monospaced font with programming ligatures
Open Source Continuous File Synchronization
#1 PDF Application on GitHub that lets you edit PDFs on any device anywhere
A topic-centric list of HQ open datasets.
A latent text-to-image diffusion model
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
🦀 Small exercises to get you used to reading and writing Rust code!
Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more
A list of cool features of Git and GitHub.
A markup-based typesetting system that is powerful and easy to learn.
Chris Titus Tech's Windows Utility - Install Programs, Tweaks, Fixes, and Updates
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
very good whiteboard infinite canvas SDK
A collection of design patterns/idioms in Python
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more