zietzm's Stars
karpathy/LLM101n
LLM101n: Let's build a Storyteller
yewstack/yew
Rust / Wasm framework for creating reliable and efficient web applications
tailscale/tailscale
The easiest, most secure way to use WireGuard and 2FA.
RustPython/RustPython
A Python Interpreter written in Rust
yetone/avante.nvim
Use your Neovim like using Cursor AI IDE!
vosen/ZLUDA
CUDA on non-NVIDIA GPUs
johnkerl/miller
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
loco-rs/loco
🚂 🦀 The one-person framework for Rust for side-projects and startups
python-trio/trio
Trio – a friendly Python library for async concurrency and I/O
tokio-rs/tracing
Application level tracing for Rust.
roc-lang/roc
A fast, friendly, functional language.
dotenvx/dotenvx
a better dotenv–from the creator of `dotenv`
ridgerchu/matmulfreellm
Implementation for MatMul-free LM.
tkem/cachetools
Extensible memoizing collections and decorators
BurntSushi/jiff
A datetime library for Rust that encourages you to jump into the pit of success.
mysql2sqlite/mysql2sqlite
Converts MySQL dump to SQLite3 compatible dump
anthdm/hollywood
Blazingly fast and light-weight Actor engine written in Golang
kdheepak/lazygit.nvim
Plugin for calling lazygit from within neovim.
nvim-telekasten/telekasten.nvim
A Neovim (lua) plugin for working with a markdown zettelkasten / wiki and mixing it with a journal, based on telescope.nvim
eclipse-iceoryx/iceoryx2
Eclipse iceoryx2™ - true zero-copy inter-process-communication in pure Rust
Vexu/arocc
A modern fully featured C compiler.
PyO3/rust-numpy
PyO3-based Rust bindings of the NumPy C-API
supermaven-inc/supermaven-nvim
The official Neovim plugin for Supermaven
jonhoo/bus
Efficient, lock-free, bounded Rust broadcast channel
nicholassm/disruptor-rs
Low latency inter-thread communication library in Rust inspired by the LMAX Disruptor.
manojkarthick/pqrs
Command line tool for inspecting Parquet files
asg017/sqlite-jiff
sdcTools/sdcMicro
sdcMicro
codilime/rust-dpdk
facebookresearch/SIE
Code for the paper Self-Supervised Learning of Split Invariant Equivariant Representations