Showing 661-680 of 769 projects
A web app that uses AI to index videos, enable semantic search, and export scenes for developers building with AI tools.
A script for searching extracted firmware file systems for sensitive information.
A curated list of resources for neural architecture search, a technique for automated deep learning model design.
YNSearch is a highly customizable, Pinterest-inspired search view for iOS apps, built with Swift 5.0 and Realm support.
A Compose-based multi-source light novel reader with features like epub export, custom backgrounds, and update notifications.
A personal blog project built with C#/.NET9+ and Vue3, featuring a CMS, search, and more for developers.
A fast, local-first search engine for !bang users, built with TypeScript.
RAG Search API is a Python library that provides a search engine API powered by Retrieval Augmented Generation (RAG) models.
A plugin for the tmux terminal multiplexer that enhances search functionality.
A project-based course on developing AI agents using LangChain v1+ and LangGraph for search, RAG, reflection, and code interpreters.
A web application for tracking TV shows with semi-automatic torrent integration, built with AngularJS.
Automated scripts to collect AI-related research papers for the MLNLP community
A search-enhanced large language model toolkit for building AI-powered applications and tools.
A web scraper for searching and accessing files on the Baidu Cloud platform.
Highly performant, modular, and production-ready inference, ingestion, and indexing library built in Rust for AI-powered applications.
DeepRec is a high-performance deep learning recommendation framework based on TensorFlow, hosted in the LF AI & Data Foundation.
An SSM (Spring, SpringMVC, MyBatis) framework-based project that builds an integrated system for points management and basic product search.
A blog learning project built with Spring Boot, featuring a variety of advanced features like real-time chat and search.
A high-performance C++ library for fast nearest neighbor search using locality-sensitive hashing (LSH) algorithms.
A collection of state-of-the-art metaheuristic optimization algorithms in Python for developers working with AI tools.
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