🌈一个跨平台的划词翻译软件 | A cross-platform translation software Pot (Translator of Pylogmon) 🌈 一个跨平台的划词翻译软件 ( 快速上手| 软件下载| 进阶配置) 使用方法 划词翻译 选中需要翻译的文本之后，按下划词翻译快捷键即可 输入翻译 按下输入翻译快捷键，输入需要翻译的文本，Enter 键翻译 插件调用 选中需要翻译的文本之后，点击插件图标即可，详情见 插件调用 剪切板监听模式 打开翻译窗口，启动剪切板监听模式，复制想要翻译的内容即可 贡献者 参与贡献请阅读 接口贡献指南 感谢 Bob 灵感来源 bob-plugin-openai-translator OpenAI 接口参考 @uiYzzi 提供实现思路 @Lichenkass 维护 Deepin 应用商店版本 Tauri 好用的 Gui 框架 支持作…
リアルタイムボイスチェンジャー Realtime Voice ChangerVC Client English What's New! v.1.5.3.2 support rvc v2 update setting of stored models v.1.5.3.1 support sample models store uploaded models v.1.5.2.9a fix: ServerDeviceMode Channel Setting fix: model merge issue v.1.5.2.9 Support DDSP-SVC 3.0 (Ph.1) Server Device Mode (experimental) VC Client とは 各種音声変換 AI(VC, Voice Conversion)を用いてリアルタイム音声変換を行うためのクライアントソフトウェアです。サポートしている音声変換 AI は次のものになります。 サポートする音声変換 AI （サポート VC） MMVC so-vits-svc RV…
Code for DragGAN (SIGGRAPH 2023)Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold Figure: Drag your GAN. Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold Xingang Pan, Ayush Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, Christian Theobalt SIGGRAPH 2023 Conference Proceedings Code will be released in June. BibTeX @inproceedings{pan2023draggan, title={Drag Your GAN: Interactive Point-based Manipulation o…
An open source implementation of OpenAI's ChatGPT Code interpreter An open source implementation of OpenAI's ChatGPT Code interpreter. Simply ask the OpenAI model to do something and it will generate & execute the code for you. Read the blog post to find out more. Installation Open a terminal and run: $ pip install gpt-code-ui $ gptcode User interface Features File upload File download Context awareness (it can refer to your previous messages) Generate code Run code (Python kernel) M…
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).Lidar AI Solution This is a highly optimized solution for self-driving 3D-lidar repository. It does a great job of speeding up sparse convolution/CenterPoint/BEVFusion/OSD/Conversion. Pipeline overview GetStart $ sudo apt-get install git-lfs $ git clone --recursive https://github.…
😎 Awesome list of tools and projects with the awesome LangChain framework🦜🔗 Awesome LangChain Curated list of tools and projects using LangChain. LangChain is an amazing framework to get LLM projects done in a matter of no time and the ecosystem is growing fast. Here is an attempt to keep track of the initiatives around LangChain. Contributions welcome. Add links through pull requests or create an issue to start a discussion. Table of Contents 🦜🔗 Awesome LangChain Table of Contents LangC…
Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型VisualGLM-6B 🤗 HF Repo • ⚒️ SwissArmyTransformer (sat) • 🐦 Twitter • 📃 [CogView@NeurIPS 21] [GitHub] • 📃 [GLM@ACL 22] [GitHub] 👋 加入我们的 Slack 和 WeChat 介绍 VisualGLM-6B 是一个开源的，支持图像、中文和英文的多模态对话语言模型，语言模型基于 ChatGLM-6B，具有 62 亿参数；图像部分通过训练 BLIP2-Qformer 构建起视觉模型与语言模型的桥梁，整体模型共78亿参数。 VisualGLM-6B 依靠来自于 CogView 数据集的30M高质量中文图文对，与300M经过筛选的英文图文对进行预训练，中英文权重相同。该训练方式较好地将视觉信息对齐到ChatGLM的语义空间；之后的微调阶段，模型在长视觉问答数据上训练，以生成符合人类偏好的答案…
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention [website] [demo] Abstract Diffusion models excel at text-to-image generation, especially in subject-driven generation for personalized images. However, existing methods are inefficient due to the subject-specific fine-tuning, which is computationally intensive and hampers efficient deployment. Moreover, existing methods struggle with multi-subject generation as they often blend features among subjects. We present…
Drag & drop UI to build your customized LLM flow using LangchainJS Flowise - LangchainJS UI Drag & drop UI to build your customized LLM flow using LangchainJS ⚡Quick Start Install Flowise npm install -g flowise Start Flowise npx flowise start Open http://localhost:3000 🐳 Docker Go to docker folder at the root of the project Create .env file and specify the PORT (refer to .env.example) docker-compose up -d Open http://localhost:3000 You can bring the containers down by docker-comp…