Showing 1-19 of 19 projects
A set of Jupyter Notebooks that combine Grounding DINO, Segment Anything, and Stable Diffusion for automatic detection, segmentation, and generation of anything in images.
A collection of tutorials and notebooks on state-of-the-art computer vision models and techniques for developers.
A software tool that helps developers learn vocabulary during their idle time.
Schema.org provides a shared vocabulary for structured data on the web, enabling interoperable applications.
A comprehensive English dictionary and vocabulary library for language learners and developers.
A personalized language-learning tool that combines Duolingo-style lessons with your own curated vocabulary lists.
Open-source large vocabulary continuous speech recognition engine for various applications.
Official code implementation of Vary, a method for scaling up the vision vocabulary of large vision language models.
This is a multilingual (Japanese/English) vocabulary list for software engineers, not a developer discovery platform.
A must-have resource for experimenting with and building on the OpenAI vision API.
A Vue.js-based IELTS exam preparation app with vocabulary, grammar, listening, and reading resources.
An open-vocabulary video segmentation model that can track any object in a video, for video editing and processing.
Real-time and accurate open-vocabulary end-to-end object detection library for computer vision applications.
A collection of English vocabulary resources for language learners, including CET-4, CET-6, SAT, and TOEFL word lists.
This is a Japanese vocabulary learning resource, not a developer tool for vibe coders.
A general object foundation model for computer vision tasks in images and videos at scale
Provides TypeScript types for the Schema.org vocabulary, enabling type-safe JSON-LD integrations.
A powerful open-world object detection model for computer vision tasks, leveraging the DINO framework.
An open-source Python library for open-vocabulary segmentation with a pre-trained Segment Anything Model (SAM).
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