关键词 "Object training" 的搜索结果, 共 21 条, 只显示前 480 条
An MCP server that provides comprehensive access to the local Anytype API (v0.46.1). It allows to interact with your Anytype data, enabling features like: searching, retrieving, creating, and deletin
fastmcp implementation of notion-mcp server with support for extensible custom objects and functions
OpenCV MCP Server provides OpenCV's image and video processing capabilities through the Model Context Protocol (MCP). Access powerful computer vision tools for tasks ranging from basic image manipulat
MCPサーバーを100個作ってみるトレーニング
A chrome extension bridge that allows you to connect to a mcp server to use global window object.
Access real-time information about your Unity project Read/Write Functionality to Unity Project Files Understand your scene hierarchy and game objects Execute C# code directly in the Unity Editor
An MCP (Model Context Protocol) server implementation that integrates Claude with Salesforce, enabling natural language interactions with your Salesforce data and metadata. This server allows Claude t
The repository SMMS creates an MCP server for instance-level semantic maps and provides a series of functional modules for 3D instance objects in semantic maps.
MCP server for training Linear Regression Model.
This MCP server lets AI assistants access and search your private documents, codebases, and latest tech info. It processes Markdown, text, and PDFs into a searchable database, extending AI knowledge b
A simple MCP server that exposes basic Recall functionality including listing buckets, getting account balances, creating objects, and more
Demo of MCP client/server using durable objects for trackings state
Remote MCP server sample (Hono + Cloudflare Workers + Durable Objects)
MCP server for object storage, supporting a range of operations for object storage
Exposes MinIO data through Resources. The server can access and provide: Text files (automatically detected based on file extension) Binary files (handled as application/octet-stream)
<p>Overview Spark-TTS 是由出门问问(Mobvoi)联合多所顶尖学术机构(如香港科技大学、上海交通大学)最新推出的新一代语音合成模型,其核心创新在于BiCodec编码技术和与文本大模型的结构统一性,利用大型语言模型 (LLM) 的强大功能实现高度准确且自然的语音合成。</p> <p>Spark-TTS is an advanced text
RWKV开源发布了 RWKV7-G1 1.5B 推理模型(Reasoning Model)。模型基于 World v3.5 数据集训练,包含更多小说、网页、数学、代码和 reasoning 数据,总数据为 5.16T tokens。其具备其它同尺寸模型不具备的推理能力和任务能力,同时还支持现实世界 100+ 种语言。 在实际测试中,RWKV7-G1 1.5B 模型的推理逻辑性较强,能够完成有难度的
ContextGem:轻松从文档中提取 LLM ContextGem 是一个免费的开源 LLM 框架,它可以让您以最少的代码更轻松地从文档中提取结构化数据和见解。 💎 为什么选择 Contex
ViLAMP(VIdeo-LAnguage Model with Mixed Precision)是蚂蚁集团和中国人民大学联合推出的视觉语言模型,专门用在高效处理长视频内容。基于混合精度策略,对视频中的关键帧保持高精度分析,显著降低计算成本提高处理效率。ViLAMP在多个视频理解基准测试中表现出色,在长视频理解任务中,展现出显著优势。ViLAMP能在单张A100 GPU上处理长达1万帧(约3小时)
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