A node.js module for color quantization, based on Leptonica.
TypeScript definitions for quantize
<div align="center"> <img width="200" height="200" src="https://s3.amazonaws.com/pix.iemoji.com/images/emoji/apple/ios-11/256/crayon.png"> <h1>@jimp/plugin-quantize</h1> <p>Reduces the number of colors in an image.</p> </div>
A node.js module for color quantization, based on Leptonica.
CLI for InferBit — quantize, chat, bench, info, serve
A node.js module for color quantization, based on Leptonica.
quantize info-radiations
A node.js module for color quantization, based on Leptonica.
A node.js module for color quantization, based on Leptonica.
Quantize your development workflow - Sequential AI phases with quality gates
quantize ========
TypeScript definitions for quantize
Quantize a number
Quantize an image
A node.js module for color quantization, based on Leptonica.
Encodings that map abstract data to visual representation.
Quantize a HEX colour to the closest colour that is supported by Scratch.
A versatile package for efficient color quantization and palette building. Works in both Node.js and browser environments.
Manipulate TopoJSON and convert it to GeoJSON.
A js module for color quantization, based on Leptonica.
A node.js module for color quantization, based on Leptonica.
very fast JS GIF encoder
Convert colors to websafe / websmart values
Pure-TS kernel for paleta: sniff, quantize (Wu), OKLab, cache pipeline.
A simple quantization library.
1.58-bit quantization engine for BitNet neural networks
Neural network quantization toolkit for ONNX models
Model quantization for ToRSh neural networks
Quantization and compression for LNMP embedding vectors with minimal accuracy loss
Comprehensive benchmarking suite for BitNet implementation
Training and fine-tuning utilities for BitNet models
surge synthesizer -- digital waveshaper
Convert 24/32-bit images to 8-bit palette with alpha channel. C API/FFI libimagequant that powers pngquant lossy PNG compressor. Dual-licensed like pngquant. See https://pngquant.org for details.
CNN feature extraction for image embeddings with SIMD acceleration
Advanced quantization engine for efficient LLM inference
Model quantization for the Axonml ML framework
Adds a quantize() method to the Integer class
A RubyLLM plugin that enables local LLM execution using the Red Candle gem. Run quantized GGUF models directly in Ruby without external API calls. Supports streaming, structured output, and multiple model architectures including Gemma, Llama, Qwen, Mistral, and Phi.
A library for storing and handling vectors with optional quantization.
HdrHistogram is an algorithm designed for recording histograms of value measurements with configurable precision. Value precision is expressed as the number of significant digits, providing control over value quantization and resolution whilst maintaining a fixed cost in both space and time.
Ruby bindings for the redact-ner crate, providing Named Entity Recognition for PII detection using quantized ONNX models through the ONNX Runtime.
A Ruby port of mlx-lm providing large language model inference, quantization, LoRA fine-tuning, and an OpenAI-compatible server built on the mlx gem. Supports Llama, Gemma, Qwen2, Phi3, Mixtral, DeepSeek, and many more architectures.
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