关键词 "PTE IELTS" 的搜索结果, 共 20 条, 只显示前 480 条
This is an MCP-Server adapter provided by TapData for use with LLM's
an MCP server for the services I like to use with AI agents, which you should probably fork and modify for your own use. No PRs accepted, this is just for me. Not private because you or a bot might ge
MCP2HTTP is a minimal transport adapter that bridges MCP clients using stdio with stateless HTTP servers.
A simple adapter to convert a MCP server to a GPT actions compatible API
An MCP tool server that provides stateful, TUI-compatible terminal sessions.
Configuration, adapters, and troubleshooting tools for GitLab MCP server implementation
Mirror of
A fully featured PostgreSQL server adapter for the Model Context Protocol (MCP), providing robust read/write access and enhanced schema metadata for LLM and AI-powered applications. Supports full SQL
PrivAgents is a privacy-first framework where intelligent agents interact with a secure MCP (Model Computation & Processing) server to perform encrypted data analysis using homomorphic encryption.
This repository complements or interacts with the github-mcp-server project.
GPTers AI 스터디 커뮤니티의 지식을 검색할 수 있는 MCP 서버입니다.
Demo of implementation of MCP using Langchain MCP Adapters and Ollama
Model Context Protocol (MCP) Toolkit for cheqd decentralised identity
A proof-of-concept demonstrating a custom-built host implementing an OpenAI-compatible API with Google Vertex AI, function calling, and interaction with MCP servers.
Cores for MCPE Alpha servers using the Pterodactyl panel
字节开源DreamO,统一图像定制框架,把图像换装、换脸、换造型、换风格以及组合操作装在了一起 支持ID、IP、Try-On等组合,支持16GB/24GB显卡运行,用于虚拟试穿、商品广告、营销广告什么的比较实用 四个能力: IP,处理角色形象,支持人物、物体、动物等输入 ID,人脸身份处理 Try-On,虚拟试穿,可以同时换多件衣服 Style,风格迁移,目前还不能和其他任务组合 DreamO正
IFAdapter是一种新型的文本到图像生成模型,由腾讯和新加坡国立大学共同推出。提升生成含有多个实例的图像时的位置和特征准确性。传统模型在处理多实例图像时常常面临定位和特征准确性的挑战,IFAdapter通过引入两个关键组件外观标记(Appearance Tokens)和实例语义图(Instance Semantic Map)解决问题。外观标记用于捕获描述中的详细特征信息,实例语义图则将特征与特
VACE(Video Creation and Editing)是阿里巴巴通义实验室推出的一站式视频生成与编辑框架。基于整合多种视频任务(如参考视频生成、视频到视频编辑、遮罩编辑等)到一个统一模型中,实现高效的内容创作和编辑功能。VACE的核心在于Video Condition Unit(VCU),将文本、图像、视频和遮罩等多种模态输入整合为统一的条件单元,支持多种任务的灵活组合。开源的 Wan2
Sketch2Anim 是爱丁堡大学联合Snap Research、东北大学推出的自动化框架,能将2D草图故事板直接转换为高质量的3D动画。基于条件运动合成技术,用3D关键姿势、关节轨迹和动作词精确控制动画的生成。框架包含两个核心模块,多条件运动生成器和2D、3D神经映射器。Sketch2Anim能生成自然流畅的3D动画,支持交互式编辑,极大地提高动画制作的效率和灵活性。 Sketch2Anim
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