关键词 "class selection" 的搜索结果, 共 16 条, 只显示前 480 条
InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型 InternVL 家族:利用开源套件缩小与商业多模态模型的差距——GPT-4o 的先驱开源替代方案 InternVL3,一个性能强大的开源多模态大模型。其中InternVL3-78B同时在感知能力和推理能力上同时达到了开源第
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Automate the registration of functions and classes from a python package into a FastMCP instance.
A Model Context Protocol (MCP) server that helps AI code editors find TypeScript symbol definitions in your codebase. This tool is particularly useful when you need to locate the original definition o
Professional Gemini API integration for Claude and all MCP-compatible hosts with intelligent model selection and advanced file handling | Smithery.ai verified
MCP Server with an artisinal selection of bespoke agent tools.
hey,i wanted to play with some mods but when i try to open the game it says; The game crashed whilst initializing game Error: java.lang.NoClassDefFoundError: cpw/mods/fml/common/IPlayerTracker Exit Co
Este projeto é uma aplicação em C# com .NET 9.0, containerizada com Docker. Ele inclui um servidor (`QualisMcpServer`) que processa dados de classificações de conferências acadêmicas (Qualis) e um cli
an MCP server for GUnet's Open eClass
Crawl4AI-MCP: A powerful web crawling and content analysis server that combines targeted web scraping with Claude AI processing. Extract insights from specific websites with customizable depth, conten
A simple, working example of a Model Context Protocol (MCP) server that lets you play the classic Lemonade Stand game through Claude Desktop. 什么是 MCP? 模型上下文协议 (MCP) 是一项开放标准,它使像 Claude 这样的 AI 模型能
昆仑万维正式开源(17B+)Matrix-Game大模型,即Matrix-Zero世界模型中的可交互视频生成大模型。Matrix-Game是Matrix系列在交互式世界生成方向的正式落地,也是工业界首个开源的10B+空间智能大模型,它是一个面向游戏世界建模的交互式世界基础模型,专为开放式环境中的高质量生成与精确控制而设计。 空间智能作为AI时代的重要前沿技术,正在重塑我们与虚拟世界的
Drug Farm(药物牧场),是一家通过 piggyBac 转座子发现药物靶标的 first-in-class 药物研发公司,在中美两地逐步建立团队,现已确定若干新的免疫靶点,并开发出进入临床阶段的首创新药。近日,该公司获得《麻省理工科技评论》中国・第二届生命科学创业大赛 “最佳团队奖”,生辉借此机会采访了其联合创始人兼首席运营官 许枞博士。 Drug Farm 致力于构建独特的平
角井(北京)生物技术有限公司是一家专注于应用人工智能和组学大数据等创新技术加速新药发现和验证的新兴企业。公司自成立以来,将人工智能算法团队、资深大分子药物研发团队及高通量湿实验平台有机结合在一起,全力打造了AI赋能的新一代大分子药物设计平台,用于开发全新的药物及治疗方案。公司聚焦在前端的药物发现到POC验证区间,和合作伙伴共同变革大分子创新药物研发的既有范式。 角井生物拥有独到的超大数据集驱动的
全新的生成模型MeanFlow,最大亮点在于它彻底跳脱了传统训练范式——无须预训练、蒸馏或课程学习,仅通过一次函数评估(1-NFE)即可完成生成。 MeanFlow在ImageNet 256×256上创下3.43 FID分数,实现从零开始训练下的SOTA性能。 图1(上):在ImageNet 256×256上从零开始的一步生成结果 在ImageNet 256×25
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