关键词 "proprietary methods" 的搜索结果， 共 21 条, 只显示前 480 条
Create, share, and explore chatbots with Chai AI, the top chat bot app.
WiziShop is a comprehensive ecommerce solution for creating and managing online stores.
"Three Sigma provides advanced data analysis tools and statistical methods for predictive modeling."
Buildt is an AI tool for developers to search and understand large codebases using advanced contextual search and code explanations.
Enterprise AI-Enabled SEO solutions
AI-driven IT project and product planning tool
Build web components with AI. Revolutionize UI design.
Simplify business management with ERP AI's all-in-one platform.
Fully powered AI contest builder.
AgileGPT boosts team productivity and efficiency with agile methods, enabling high-performing teams.
Identify AI-generated audio from human audio, creating a genuine internet.
AI logo generator that leverages proprietary, Stable Diffusion, and Flux models to create custom logos in seconds.
Advancing AI to power the future of medicine
No-code platform for building LLM applications with proprietary data.
A lightweight MCP server for managing interview questions. Built with Spring AI and JpaRepository, it communicates via STDIO and integrates with agents like Claude Desktop, requiring explicit permissi
A template idea project by springboot、mcp (server)、junit，including junit test methods.
solana mcp sever to enable solana rpc methods
Dappier MCP server connects any AI to proprietary, real-time data — including web search, news, sports, stock market data, and premium publisher content.
The Neuro-Symbolic Autonomy Framework integrates neural, symbolic, and autonomous learning methods into a single, continuously evolving AI agent-building system. This prototype demonstrates the SCMA c
Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP se
一、核心技术：自学习和自修复的治疗引擎 PathOS Platform™是Pathos AI 的专有平台，构建于现代数据基础设施之上，能够自动化地进行靶点识别和优先级排序。 核心技术为自学习和自修复的Discovery Engine（发现引擎）： 1、自动靶点识别：利用多种正交方法（orthogonal methods）自动识别和优先排序药物靶点。 2、自适应模型：能够根据新数据进行自我学
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