Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
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Serverless LLM apps on Production with Jina AI Cloud (Archived).
Legacy-iOS-Kit is a code project with source, releases, documentation, or setup notes.
A generic approach that allows to mimic most factorization models by feature engineering.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Pretrain computer vision models on unlabeled data for industrial applications.
Supports software work with AI-assisted coding, testing or application development.
A comprehensive toolkit to build Machine Learning applications with Rust.
Linkora is a code project with source, releases, documentation, or setup notes.
LISTEN.moe is a code project with source, releases, documentation, or setup notes.
ListenBrainz is a code project with source, releases, documentation, or setup notes.
LlamaIndex is a data framework for your LLM applications.
LLMFlows is a framework for building simple, explicit, and transparent LLM applications such as chatbots, question-answering systems, and agents.
LNReader is a code project with source, releases, documentation, or setup notes.
A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.
M3UAndroid is a code project with source, releases, documentation, or setup notes.
Maid is a code project with source, releases, documentation, or setup notes.
Mangayomi is a code project with source, releases, documentation, or setup notes.
AI Agent Teams for multi-app social media marketing — automated trend research, content creation, optimization, publishing, and analytics across TikTok, Instagram, YouTube, Facebook, Reddit, X, and Pinterest
Official Android app for Mastodon
Official iOS app for Mastodon
material-ui-dropzone is a developer tool or component for adding file uploads, image uploads, or attachments to web apps.
Materialbook is a code project with source, releases, documentation, or setup notes.
Application-oriented deep reinforcement learning framework addressing real-world decision problems.