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add repositories (Updated on December 16, 2024)
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31 changes: 21 additions & 10 deletions README.md
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Expand Up @@ -15,26 +15,31 @@ Your contributions are always welcome! Before contributing, please read [the gui

## The latest additions 🎉

**Prompts**
* [GPTS-Prompt-Collection](https://github.com/b3o/gpts-prompt-collection) - 收集GPTS的prompt / Collect the prompt of GPTS


**Chatbots**
* [ipranges](https://github.com/lord-alfred/ipranges) - 🔨 List all IP ranges from: Google (Cloud & GoogleBot), Bing (Bingbot), Amazon (AWS), Microsoft, Oracle (Cloud), GitHub, Facebook (Meta), OpenAI (GPTBot) and other with daily updates.
* [Open-Interface](https://github.com/ambersahdev/open-interface) - Control Any Computer Using LLMs


**NLP**
* [nerve](https://github.com/evilsocket/nerve) - Create LLM agents without writing code.
* [OpenAdapt](https://github.com/openadaptai/openadapt) - Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models
* [opik](https://github.com/comet-ml/opik/) - Open-source end-to-end LLM Development Platform
**CLIs**
* [shell-ai](https://github.com/ricklamers/shell-ai) - LangChain powered shell command generator and runner CLI


**Tutorials**
* [rag-cookbooks](https://github.com/athina-ai/rag-cookbooks) - This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.


**Langchain**
* [llama3.java](https://github.com/mukel/llama3.java) - Practical Llama 3 inference in Java
* [vectordb-recipes](https://github.com/lancedb/vectordb-recipes) - High quality resources & applications for LLMs, multi-modal models and VectorDBs
* [markitdown](https://github.com/microsoft/markitdown) - Python tool for converting files and office documents to Markdown.


**Others**
* [onyx](https://github.com/onyx-dot-app/onyx) - Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
**Openai**
* [subgen](https://github.com/mcclouds/subgen) - Autogenerate subtitles using OpenAI Whisper Model via Jellyfin, Plex, Emby, Tautulli, or Bazarr


_Updated on December 12, 2024_ (A total of 1913 repositories listed.)
_Updated on December 16, 2024_ (A total of 1918 repositories listed.)

## Table of contents

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* [pezzo](https://github.com/pezzolabs/pezzo) - 🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.
* [archgw](https://github.com/katanemo/archgw) - Arch is an intelligent gateway for agents. Engineered with (fast) LLMs for the secure handling, rich observability, and seamless integration of prompts with your APIs - all outside business logic. Built by the core contributors of Envoy proxy, on Envoy.
* [openlit](https://github.com/openlit/openlit) - Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 40+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.
* [GPTS-Prompt-Collection](https://github.com/b3o/gpts-prompt-collection) - 收集GPTS的prompt / Collect the prompt of GPTS


## Chatbots
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* [extended_openai_conversation](https://github.com/jekalmin/extended_openai_conversation) - Home Assistant custom component of conversation agent. It uses OpenAI to control your devices.
* [AI-Data-Analysis-MultiAgent](https://github.com/starpig1129/ai-data-analysis-multiagent) - AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT, and LangGraph, this tool streamlines hypothesis generation, data analysis, visualization, and report writing. Perfect for researchers and data scientists seeking to enhance their workflow and productivity.
* [ipranges](https://github.com/lord-alfred/ipranges) - 🔨 List all IP ranges from: Google (Cloud & GoogleBot), Bing (Bingbot), Amazon (AWS), Microsoft, Oracle (Cloud), GitHub, Facebook (Meta), OpenAI (GPTBot) and other with daily updates.
* [Open-Interface](https://github.com/ambersahdev/open-interface) - Control Any Computer Using LLMs


## Browser-extensions
Expand Down Expand Up @@ -913,6 +920,7 @@ _Updated on December 12, 2024_ (A total of 1913 repositories listed.)
* [PDFMathTranslate](https://github.com/byaidu/pdfmathtranslate) - PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker
* [gpt-engineer](https://github.com/gpt-engineer-org/gpt-engineer) - Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
* [whisper-ctranslate2](https://github.com/softcatala/whisper-ctranslate2) - Whisper command line client compatible with original OpenAI client based on CTranslate2.
* [shell-ai](https://github.com/ricklamers/shell-ai) - LangChain powered shell command generator and runner CLI


## Reimplementations
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* [llm-python](https://github.com/onlyphantom/llm-python) - Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone
* [Play-with-LLMs](https://github.com/evilpsycho/play-with-llms) - Tutorial on training, evaluating LLM, as well as utilizing RAG, Agent, Chain to build entertaining applications with LLMs.分享如何训练、评估LLMs，如何基于RAG、Agent、Chain构建有趣的LLMs应用。
* [zero_to_gpt](https://github.com/vikparuchuri/zero_to_gpt) - Go from no deep learning knowledge to implementing GPT.
* [rag-cookbooks](https://github.com/athina-ai/rag-cookbooks) - This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.


## NLP
Expand Down Expand Up @@ -1382,6 +1391,7 @@ _Updated on December 12, 2024_ (A total of 1913 repositories listed.)
* [langchain-rust](https://github.com/abraxas-365/langchain-rust) - 🦜️🔗LangChain for Rust, the easiest way to write LLM-based programs in Rust
* [llama3.java](https://github.com/mukel/llama3.java) - Practical Llama 3 inference in Java
* [vectordb-recipes](https://github.com/lancedb/vectordb-recipes) - High quality resources & applications for LLMs, multi-modal models and VectorDBs
* [markitdown](https://github.com/microsoft/markitdown) - Python tool for converting files and office documents to Markdown.


## Unity
Expand Down Expand Up @@ -1607,6 +1617,7 @@ _Updated on December 12, 2024_ (A total of 1913 repositories listed.)
* [vector-vein](https://github.com/andersonby/vector-vein) - No-code AI workflow. Drag and drop workflow nodes and use your workflow with your AI agents.
* [faster-whisper-GUI](https://github.com/cheshirecc/faster-whisper-gui) - faster_whisper GUI with PySide6
* [APIPark](https://github.com/apiparklab/apipark) - 🦄APIPark is the #1 open-source AI Gateway and Developer Portal, enabling you to easily manage, integrate, and deploy AI and API services. APIPark seamlessly connects with various large AI models and packages these AI capabilities into APIs for easy invocation.
* [subgen](https://github.com/mcclouds/subgen) - Autogenerate subtitles using OpenAI Whisper Model via Jellyfin, Plex, Emby, Tautulli, or Bazarr


## Others
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141 changes: 141 additions & 0 deletions awesome-ChatGPT-repositories.json
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Expand Up @@ -5363,6 +5363,27 @@
"zh-hans": "AI工程的开源平台：OpenTelemetry原生LLM可观测性，GPU监控，防护栏，评估，提示管理，保险库，游乐场。🚀💻 与40多个LLM提供商，VectorDBs，代理框架和GPU集成。",
"zh-hant": "開源平台為AI工程：OpenTelemetry-native LLM可觀測性，GPU監控，防護欄，評估，提示管理，金庫，遊樂場。🚀💻與40多個LLM提供商，VectorDBs，代理框架和GPU集成。"
}
},
"https://github.com/b3o/gpts-prompt-collection": {
"repository_name": "GPTS-Prompt-Collection",
"user_name": "B3o",
"language": null,
"license": "MIT License",
"description": "收集GPTS的prompt / Collect the prompt of GPTS",
"topics": [
"chatgpt",
"chatgpt-api",
"gpts",
"gptslist",
"prompt",
"prompt-engineering"
],
"multilingual_descriptions": {
"en": "收集GPTS的prompt / Collect the prompt of GPTS",
"ja": "GPTSのプロンプトを収集します",
"zh-hans": "收集GPTS的提示",
"zh-hant": "收集GPTS的提示"
}
}
},
"Chatbots": {
Expand Down Expand Up @@ -12164,6 +12185,39 @@
"zh-hans": "🔨列出以下所有IP范围：Google（云和GoogleBot）、必应（Bingbot）、亚马逊（AWS）、微软、甲骨文（云）、GitHub、Facebook（Meta）、OpenAI（GPTBot）和其他，并每日更新。",
"zh-hant": "🔨列出來自Google（Cloud＆GoogleBot）、Bing（Bingbot）、Amazon（AWS）、Microsoft、Oracle（Cloud）、GitHub、Facebook（Meta）、OpenAI（GPTBot）和其他每日更新的IP範圍。"
}
},
"https://github.com/ambersahdev/open-interface": {
"repository_name": "Open-Interface",
"user_name": "AmberSahdev",
"language": "Python",
"license": "GNU General Public License v3.0",
"description": "Control Any Computer Using LLMs",
"topics": [
"assistant",
"assistant-computer-control",
"automation",
"gpt",
"gpt4",
"gpt4v",
"gpt4vision",
"linux",
"llm",
"machine-learning",
"macos",
"openai",
"pyautogui",
"pyinstaller",
"python",
"self-driving",
"self-driving-software",
"windows"
],
"multilingual_descriptions": {
"en": "Control Any Computer Using LLMs",
"ja": "LLMsを使用して任意のコンピューターを制御します。",
"zh-hans": "使用LLMs控制任何计算机",
"zh-hant": "使用LLMs控制任何電腦"
}
}
},
"Browser-extensions": {
Expand Down Expand Up @@ -20037,6 +20091,28 @@
"zh-hans": "基于CTranslate2的原始OpenAI客户端兼容的Whisper命令行客户端。输出：基于CTranslate2的原始OpenAI客户端兼容的Whisper命令行客户端。",
"zh-hant": "基於CTranslate2的原始OpenAI客戶端兼容的Whisper命令行客戶端。Whisper命令行客戶端與原始OpenAI客戶端兼容，基於CTranslate2。"
}
},
"https://github.com/ricklamers/shell-ai": {
"repository_name": "shell-ai",
"user_name": "ricklamers",
"language": "Python",
"license": "MIT License",
"description": "LangChain powered shell command generator and runner CLI",
"topics": [
"automation",
"cli",
"gpt",
"langchain",
"llm",
"openai",
"shell"
],
"multilingual_descriptions": {
"en": "LangChain powered shell command generator and runner CLI",
"ja": "LangChain パワード シェルコマンドジェネレーターおよびランナーCLI",
"zh-hans": "LangChain 动力外壳命令生成器和运行器CLI",
"zh-hant": "LangChain 驅動的 shell 命令生成器和運行器 CLI"
}
}
},
"Reimplementations": {
Expand Down Expand Up @@ -21147,6 +21223,35 @@
"zh-hans": "从零开始学习深度学习，实现GPT。",
"zh-hant": "從零基礎的深度學習知識到實現GPT。"
}
},
"https://github.com/athina-ai/rag-cookbooks": {
"repository_name": "rag-cookbooks",
"user_name": "athina-ai",
"language": "Jupyter Notebook",
"license": "MIT License",
"description": "This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.",
"topics": [
"ai",
"chromadb",
"cookbooks",
"faiss",
"langchain",
"llm",
"llms",
"openai",
"pinecone",
"python",
"qdrant",
"rag",
"tutorials",
"weaviate"
],
"multilingual_descriptions": {
"en": "This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.",
"ja": "このリポジトリには、Retrieval-Augmented Generation（RAG）システムのさまざまな高度な技術が含まれています。",
"zh-hans": "该存储库包含了用于检索增强生成（RAG）系统的各种高级技术。",
"zh-hant": "這個存儲庫包含了檢索增強生成（RAG）系統的各種高級技術。"
}
}
},
"NLP": {
Expand Down Expand Up @@ -30129,6 +30234,28 @@
"zh-hans": "高质量资源和应用程序供LLMs、多模型和VectorDBs使用",
"zh-hant": "高品質的資源和應用於LLMs，多模型和VectorDBs"
}
},
"https://github.com/microsoft/markitdown": {
"repository_name": "markitdown",
"user_name": "microsoft",
"language": "HTML",
"license": "MIT License",
"description": "Python tool for converting files and office documents to Markdown.",
"topics": [
"autogen",
"autogen-extension",
"langchain",
"markdown",
"microsoft-office",
"openai",
"pdf"
],
"multilingual_descriptions": {
"en": "Python tool for converting files and office documents to Markdown.",
"ja": "Markdown へのファイルやオフィス文書を変換するための Python ツール。",
"zh-hans": "Python工具，用于将文件和办公文档转换为Markdown。",
"zh-hant": "將檔案和辦公文件轉換為Markdown的Python工具。"
}
}
},
"Unity": {
Expand Down Expand Up @@ -34889,6 +35016,20 @@
"zh-hans": "🦄APIPark是#1开源AI网关和开发者门户，让您轻松管理、集成和部署AI和API服务。APIPark与各种大型AI模型无缝连接，并将这些AI能力打包成API，方便调用。",
"zh-hant": "🦄APIPark 是第一個開源人工智慧閘道和開發者門戶，讓您可以輕鬆管理、整合和部署人工智慧和 API 服務。APIPark 與各種大型人工智慧模型無縫連接，並將這些人工智慧能力打包成 API，方便調用。"
}
},
"https://github.com/mcclouds/subgen": {
"repository_name": "subgen",
"user_name": "McCloudS",
"language": "Python",
"license": "MIT License",
"description": "Autogenerate subtitles using OpenAI Whisper Model via Jellyfin, Plex, Emby, Tautulli, or Bazarr",
"topics": [],
"multilingual_descriptions": {
"en": "Autogenerate subtitles using OpenAI Whisper Model via Jellyfin, Plex, Emby, Tautulli, or Bazarr",
"ja": "Jellyfin、Plex、Emby、Tautulli、またはBazarrを使用してOpenAI Whisper Modelを使用して自動生成された字幕",
"zh-hans": "使用OpenAI Whisper模型通过Jellyfin、Plex、Emby、Tautulli或Bazarr自动生成字幕",
"zh-hant": "使用OpenAI Whisper模型通过Jellyfin、Plex、Emby、Tautulli或Bazarr自动生成字幕"
}
}
},
"Others": {
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