#数据库#arangodb 是一个多模型数据库，支持document文档、K/V、以及图的数据库
Skytable is a modern scalable NoSQL database with BlueQL, designed for performance, scalability and flexibility. Skytable gives you spaces, models, data types, complex collections and more to build po...
Open chat interface for all your models.
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
#搜索#ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vecto...
#自然语言处理#A library for easily merging multiple LLM experts, and efficiently train the merged LLM.
#前端开发#多模型同时对话、文生图，纯前端。Multi-model simultaneous chat、text-to-image generation, all done through pure front-end (API mode, no server-side needed).
A blazing fast ACID compliant NoSQL DataLake with support for storing 17 formats of data. Full SQL and DML capabilities along with Java stored procedures for advanced data processing.
Multi-model transactional embedded database
Graphic.so is a Multi Modal Ai Playground to build your AI apps and automations 10x faster with Natural Language interface
[TITS 2023] Method-Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways
#大语言模型#QiDiHui: RAG, appbuilder, ErnieBot, multi-model, 十万个为什么
⚠ DEPRECATED! Source code of the legacy ArangoDB online documentation. See arangodb/docs-hugo
#区块链#An organic ArangoDb query builder layer for rust. Making multi model fun with Rust.
The Next-Gen Database for AI—an infrastructure designed for big data and AI. As the MySQL of the AI era.
Toward Multi Modality Language Model - implementation of GPT-4o/Project Astra
A simple Read-It-Later and link collection tool, AI-powered for text and images, multi-platform, open-source. A browser extension available for one-click bookmarking. My undergraduate thesis at HUST.
#计算机科学#In this project, we will perform 12-lead ECG Multi-label Classification. Specifically, we will design a multi-model utilizing the characteristics of diagnoses from the Shaoxing and Ningbo databases.