Showing 41-60 of 73 projects
An end-to-end multimodal SVG generator that leverages pre-trained Vision-Language Models to create complex and detailed SVGs.
Cambrian-1 is a multimodal LLM with a vision-centric design for building AI-powered chatbots and applications.
A modern and concise CJK font family derived from Source Han Sans, suitable for vibe coders
A proportional variant of the original fixed-width Space Mono font family, useful for UI and frontend development.
TuGraph-DB is a high-performance graph database built for fast and efficient graph data processing.
A research language for array processing in the Haskell/ML family, not focused on AI tools.
A TypeScript library to create input masks that ensure user input follows a predefined format.
A flexible icon family for React developers, providing a comprehensive set of high-quality SVG icons.
This repository contains custom Linux kernels for a wide range of use cases, including performance optimization.
A curated list of resources for digital typography, including fonts, font editors, and related tools.
A collection of Sass-based UI components and patterns for building responsive web applications.
SALMONN is a suite of advanced multi-modal large language models (LLMs) for audio, speech, and video understanding.
A CSS/Sass library that provides a solid foundation for Bourbon-based projects with pre-defined styles.
The Libertinus font family is a set of free, high-quality OpenType fonts for typesetting, especially in math and science.
Open source online genealogy system with support for family history, family trees, and GEDCOM data.
A configurable, framework-agnostic email validation and verification library for Ruby developers.
Granite Code Models: A family of open foundation models for building code intelligence applications.
Encrypted digital estate planning toolโsecurely store secrets & plans for worst-case scenarios
A family of diffusion models for text-to-audio generation, targeting vibe coders who build with AI tools.
Code for a paper on parameter-efficient fine-tuning of large language models using adapter modules.
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