Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization
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Updated
Dec 3, 2024 - JavaScript
Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization
Use a combination of color quantization algorithms and human fiddling to get human perceivable colors out of an image.
AI hardware fit calculator for LLM, embedding, reranker, OCR and VLM workloads — VRAM, throughput, licensing and multi-GPU planning
A color quantization tool for images based on k-means clustering
Fast, zero-dependency image pixelation for browser and Node.js
A Self-Supervised Deep Learning Framework for Spatiotemporal Anomaly Detection in UAV Surveillance Videos
Will this LLM fit your GPU or Mac? npx fitllm — accurate memory math for MLA/sliding-window/hybrid/MoE architectures that naive VRAM calculators get wrong by up to 18x. Single file, zero deps, conformance-vector tested. MIT.
TurboQuant vector quantization for browser and edge runtimes
Incrementally partition data into `k` clusters.
Dynamic Firefox theme that uses the National Geographic Photo of the Day
The project is OpenAI-like API service of SkywardAI ecosystem
A project built Electron + React.js, to dig out the potential of cross platform AI completion.
[Algorithms, Architecture] Pixpad is a Vanilla Javascript Image Processing Project. Try it online @ https://pixpad.github.io/playground/
A Node.js CLI to retrieve color palettes from an image.
takes and image as input and spits out a mosaic template
[ICCV'25] Task-Specific Zero-shot Quantization-Aware Training for Object Detection
Interactive guide to building, fine-tuning, and deploying Small Language Models with hardware/compute visualizations.
A fast and intuitive Pixel-Art tool for pixelating images and performing color quantization. Includes precise pixel-level editing with drawing and erasing functionality.
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