Beginner friendly graphics powered by WebGPU, optimized for interactive art!
> Minimal React wrapper for [q5.js](https://github.com/q5js/q5.js)
Q5 JS Configs
Q5 Web Configs
A beginner friendly, web-based game engine that uses q5.js WebGPU for graphics and Box2D v3 WASM for physics.
[q5 fork] p5.js small & fast alternative (experimental) implementation.
**CHIALSTAR Q5 SOUNDBAR**
Q5 editor
Roborock Vacuum Cleaner - plugin for Homebridge.
A small and fast alternative (experimental) implementation of p5.js
Roborock Vacuum Cleaner - plugin for Homebridge.
synchronous some files or directories from local to remote, or find some compile svn changed files
A fast, lightweight, opinionated table and datagrid built on React
A small and fast alternative (experimental) implementation of p5.js in TypeScript
A function to get the scrolling parent of an html element.
this is a react fireworks
Tuned fork from SheetJS Spreadsheet (with styles) data parser and writer
CountryDropdown and RegionDropdown React components for your forms.
LLM entropy-aware token compression for prompts
QuintOS is an education retro game engine
ViewPager component for react-native, same api on both android and ios.
Horizontally scrolling picker component for React Native
Record audio from your microphone and display as a sound oscillation
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Unobtrusive global speech-to-text
Model quantization for the Axonml ML framework
Pure-Rust Metal GPU compute library for MLX-compatible inference on Apple Silicon
Idiomatic Rust wrappers for the NVIDIA CUDA stack (Driver API, Runtime API, NVRTC, cuBLAS, cuDNN, NCCL, NVML, ...). Umbrella crate.
Plug-and-play speech-to-text for Rust. Add local transcription to any app in a few lines, with automatic GPU acceleration and zero configuration.
Quantization kernels for all GGUF quantization types
End-to-end llama.cpp toolkit: API client, HuggingFace Hub, server orchestration, benchmarks
Parse any tensor format, recover any precision — framework-agnostic FP8/GPTQ/AWQ/BnB dequantization, NPZ parsing, and PyTorch .pth conversion for Rust
K-quantization formats (Q4_K, Q5_K, Q6_K) for GGUF/APR model weights
GGUF v1/v2/v3 parser + dequantization to f32. Standalone — no rlx-* deps.
Zero-copy, memory-mapped GGUF format loader for Rust
A3S Power — Privacy-preserving LLM inference for TEE environments
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