Showing 3461-3480 of 3,603 projects
A library of prompts for AI-powered tools and applications, curated by the Cline community.
Contextualise is a powerful tool for organizing diverse information resources in knowledge-intensive projects.
Self-hosted open-source web gallery with AI-powered image discovery and tagging for photos and videos.
Powerful and easily deployable Enterprise Search Server built on Java and Elasticsearch.
A jQuery pagination plugin powered by Bootstrap for building pagination components in web applications.
A simplified HTTP request client for Node.js with native Promise support.
A Docker-powered service for PDF document layout analysis, identifying elements like text, titles, pictures, and tables.
Framely is an open-source, lightweight, multi-tenant drag-and-drop website editor for modern web applications, powered by Next.js.
A powerful, all-in-one desktop PDF toolkit to edit, convert, merge, and secure your documents.
A bundler-free build tool for TypeScript libraries, powered by tsc.
A Windows maintenance toolkit built in Batch & PowerShell for power users, sysadmins, and curious tinkerers.
An unofficial Keras implementation of the Noise2Noise image denoising algorithm, useful for vibe coders working with AI-powered tools.
A high-quality dataset repository for building recommender systems, useful for vibe coders working on AI-powered applications.
A powerful Git repository organizer and rebase/merge workflow automation tool for developers.
ChatDBG is an AI-powered debugging tool that uses GPT-3 to help developers understand why their code is behaving unexpectedly.
Evaluation tool for building and testing LLM-powered QA chains in Python.
A one-click Colab notebook to quickly set up Stable Diffusion for AI-powered image generation.
A fast, scalable library for Factorization Machines, a powerful machine learning model for recommendation systems.
A powerful shell implemented by Vim, providing a robust and customizable terminal experience for developers.
This is a library for running TinyML (Tiny Machine Learning) models on low-power devices like microcontrollers.
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