Category : github

github
OpenGVLab / InternVL

[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4V. 接近GPT-4V表现的可商用开源模型 InternVL Family: Closing the Gap to Commercial Multimodal Models with Open-Source Suites —— A Pioneering Open-Source Alternative to GPT-4V [Update Blog] [Paper] [InternVL 1.5 Technical Report] [Chat Demo] [HuggingFace Demo] [Quick Start] [中文解读] News🚀🚀🚀 2024/04/28: We release the INT8 version of InternVL-Chat-V1-5, see here. 2024/04/28: We achieve the SOTA performance (75.74) on the Infog…

  • четверг, 2 мая 2024 г. в 00:00:09
github
houbb / sensitive-word

👮‍♂️The sensitive word tool for java.(敏感词/违禁词/违法词/脏词。基于 DFA 算法实现的高性能 java 敏感词过滤工具框架。请勿发布涉及政治、广告、营销、翻墙、违反国家法律法规等内容。高性能敏感词检测过滤组件,附带繁体简体互换,支持全角半角互换,汉字转拼音,模糊搜索等功能。)sensitive-word sensitive-word 基于 DFA 算法实现的高性能敏感词工具。 在线体验 如果有一些疑难杂症,可以加入:技术交流群 sensitive-word-admin 是对应的控台的应用,目前功能处于初期开发中,MVP 版本可用。 创作目的 实现一款好用敏感词工具。 基于 DFA 算法实现,目前敏感词库内容收录 6W+(源文件 18W+,经过一次删减)。 后期将进行持续优化和补充敏感词库,并进一步提升算法的性能。 希望可以细化敏感词的分类,感觉工作量比较大,暂时没有进行。 特性 6W+ 词库,且不断优化更新 基于 fluent-api 实现,使用优雅简洁 基于 DFA 算法,性能为 7W+ QPS,应用无感 支持敏…

  • четверг, 2 мая 2024 г. в 00:00:08
github
ymcui / Chinese-LLaMA-Alpaca-3

中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3🇨🇳中文 | 🌐English | 📖文档/Docs | ❓提问/Issues | 💬讨论/Discussions | ⚔️竞技场/Arena 本项目基于Meta最新发布的新一代开源大模型Llama-3开发,是Chinese-LLaMA-Alpaca开源大模型相关系列项目(一期、二期)的第三期。本项目开源了中文Llama-3基座模型和中文Llama-3-Instruct指令精调大模型。这些模型在原版Llama-3的基础上使用了大规模中文数据进行增量预训练,并且使用精选指令数据进行精调,进一步提升了中文基础语义和指令理解能力,相比二代相关模型获得了显著性能提升。 主要内容 🚀 开源Llama-3-Chinese基座模型和Llama-3-Chinese-Instruct指令模型 🚀 开源了预训练脚本、指令精调脚本,用户可根据需要进一步训练或微调模型 🚀 开源了alpaca_zh_51k,…

  • четверг, 2 мая 2024 г. в 00:00:06
github
mlabonne / llm-datasets

High-quality datasets, tools, and concepts for LLM fine-tuning. 💾 LLM Datasets 🐦 Follow me on X • 🤗 Hugging Face • 💻 Blog • 📙 Hands-on GNN High-quality datasets, tools, and concepts for LLM fine-tuning. 👍 What is a good dataset? Data is the most valuable asset in LLM development. While datasets can't be directly evaluated like models, high-quality datasets have the following characteristics: Accuracy: Samples should be factually correct, helpful to users, an…

  • четверг, 2 мая 2024 г. в 00:00:05
github
project-fika / Fika-Documentation

Fika - A multiplayer mod for Aki Table of Contents What is Fika License Prerequisites Hosting Client Hardware Requirements Installation Host using port forwarding Host using a VPN Client using port forwarding Client using a VPN Features…

  • четверг, 2 мая 2024 г. в 00:00:03
github
Brackeys / first-game-in-godot

Project files for our video on making your first game in Godot.First game in Godot Project files for our video on making your first game in Godot. Check out the videos on the Brackeys YouTube Channel. Everything is free to use, also commercially (public domain).

  • четверг, 2 мая 2024 г. в 00:00:02
github
felipemotarocha / fullstackweek-foods

This is a Next.js project bootstrapped with create-next-app. Getting Started First, run the development server: npm run dev # or yarn dev # or pnpm dev # or bun dev Open http://localhost:3000 with your browser to see the result. You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file. This project uses next/font to automatically optimize and load Inter, a custom Google Font. Learn More To learn more about Next.js, take a look at the following resourc…

  • четверг, 2 мая 2024 г. в 00:00:01
github
module-federation / core

Module Federation is a concept that allows developers to share code and resources across multiple JavaScript applications Module Federation You can consider the module federation capabilities provided by this repository as "module federation 2.0". "Module Federation 2.0" differs from the "Module Federation" built into Webpack 5 by offering not only the core features of module export, loading, and dependency sharing but also additiona…

  • среда, 1 мая 2024 г. в 00:00:10
github
JackAILab / ConsistentID

Customized ID Consistent for human ConsistentID : Portrait Generation with Multimodal Fine-Grained Identity Preserving [📄Paper]   [🚩Project Page]   [🖼Gradio Demo] [🤗Faster Demo]   🌠 Key Features: Portrait generation with extremely high ID fidelity, without sacrificing diversity, text controllability. Introducing FaceParsing and FaceID information into the Diffusion model. Rapid customization within seconds, with no additional LoRA training. Can serve as an Adapter to collaborate wi…

  • среда, 1 мая 2024 г. в 00:00:09