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### 目标
## 目标
致力于搭建AI模型从学术界到工程界之间的桥梁,解决AI模型应用的最后一公里。

### 我们是做什么的?
## 我们是做什么的?
- 主要围绕人工智能相关的技术展开,包括计算机视觉、自然语言处理和语音。当然不仅仅限于这三个方向,会紧跟技术工程化前沿。
- 侧重工程化落地,不训练模型(当然有训练模型的能力),但是可以更好地在工程中应用落地。
- 主打简洁有效、开箱即用的使用和部署方案,目的是极大降低使用门槛。

### 明星项目

<div class="grid cards" markdown>

- __RapidOCR__

---

<a href="https://github.com/RapidAI/RapidOCR/stargazers"><img src="https://img.shields.io/github/stars/RapidAI/RapidOCR?color=ccf"></a><br/>
Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVION and PaddlePaddle.

[:octicons-arrow-right-24: 查看更多](https://github.com/RapidAI/RapidOCR)

- __RapidASR__

---

<a href="https://github.com/RapidAI/RapidASR/stargazers"><img src="https://img.shields.io/github/stars/RapidAI/RapidASR?color=ccf"></a><br/>
商用级开源语音自动识别程序库,开箱即用,全平台支持,中英文混合识别。

[:octicons-arrow-right-24: 查看更多](https://github.com/RapidAI/RapidASR)

- __LabelConvert__

---

<a href="https://github.com/RapidAI/LabelConvert/stargazers"><img src="https://img.shields.io/github/stars/RapidAI/LabelConvert?color=ccf"></a><br/>
A tool for object detection and image segmentation dataset format conversion.

[:octicons-arrow-right-24: 查看更多](https://github.com/RapidAI/LabelConvert)

- __RapidLaTeXOCR__

---

<a href="https://github.com/RapidAI/RapidLaTeXOCR/stargazers"><img src="https://img.shields.io/github/stars/RapidAI/RapidLaTeXOCR?color=ccf"></a><br/>
Formula recognition based on LaTeX-OCR and ONNXRuntime.

[:octicons-arrow-right-24: 查看更多](https://github.com/RapidAI/RapidLaTeXOCR)


- __Knowledge-QA-LLM__

---

<a href="https://github.com/RapidAI/Knowledge-QA-LLM/stargazers"><img src="https://img.shields.io/github/stars/RapidAI/Knowledge-QA-LLM?color=ccf"></a><br/>
QA based on local knowledge and LLM.

[:octicons-arrow-right-24: 查看更多](https://github.com/RapidAI/Knowledge-QA-LLM)

- __RapidStructure__

---

<a href="https://github.com/RapidAI/RapidStructure/stargazers"><img src="https://img.shields.io/github/stars/RapidAI/RapidStructure?color=ccf"></a><br/>
版面分析 | 表格识别 | 文档方向分类

[:octicons-arrow-right-24: 查看更多](https://github.com/RapidAI/RapidStructure)

</div>
## 明星项目

### 🤖 LLM

|🏗️Project|⭐️Stars|📝Description|
|:---|:---|:---|
|[LLM-DOC](https://github.com/RapidAI/LLM-DOC)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/LLM-DOC?style=flat-square)|大模型研究院资料馆|
|[LLM-EXAM](https://github.com/RapidAI/LLM-EXAM)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/LLM-DOC?style=flat-square)|大模型中文测试题库-民间版本|

### 🔍💬 RAG相关

|🏗️Project|⭐️Stars|📝Description|
|:---|:---|:---|
|[Knowledge-QA-LLM](https://github.com/RapidAI/Knowledge-QA-LLM)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/Knowledge-QA-LLM?style=flat-square)|QA based on local knowledge and LLM.|

### ⚙ OCR推理部署

|Program Language|🏗️Project|⭐️Stars|📝Description|
|:---:|:---|:---|:---|
|Python|[🔥RapidOCR](https://github.com/RapidAI/RapidOCR)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidOCR?style=flat-square)|Awesome OCR multiple programing languages toolkits based on ONNXRuntime, OpenVION and PaddlePaddle. (将PaddleOCR模型做了转换,采用ONNXRuntime推理,速度很快)|
|C++|[RapidOcrOnnx](https://github.com/RapidAI/RapidOcrOnnx)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidOcrOnnx?style=flat-square)|rapidocr onnx cpp|
|C++|[RapidOcrNcnn](https://github.com/RapidAI/RapidOcrNcnn)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidOcrNcnn?style=flat-square)|RapidOCR ncnn 推理|
|Java|[RapidOcr—Java](https://github.com/MyMonsterCat/RapidOcr-Java)|![GitHub Repo stars](https://img.shields.io/github/stars/MyMonsterCat/RapidOcr-Java?style=flat-square)|Java代码实现调用RapidOCR(基于PaddleOCR),适配Mac、Win、Linux,支持最新PP-OCRv4|
|Java|[RapidOcrOnnxJvm](https://github.com/RapidAI/RapidOcrOnnxJvm)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidOcrOnnxJvm?style=flat-square)|RapidOcr onnx java kotlin jni test|
|Java|[RapidOcrNcnnJvm](https://github.com/RapidAI/RapidOcrNcnnJvm)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidOcrNcnnJvm?style=flat-square)|RapidOcr ncnn java kotlin jni|
|C#|[RapidOCRCSharp](https://github.com/RapidAI/RapidOCRCSharp)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidOCRCSharp?style=flat-square)|本项目为Windows平台C# WinForm范例|
|Android|[RapidOcrAndroidOnnx](https://github.com/RapidAI/RapidOcrAndroidOnnx)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidOcrAndroidOnnx?style=flat-square)|RapidOcr onnxruntime推理 for Android|
|Android|[RapidOcrAndroidOnnxCompose](https://github.com/RapidAI/RapidOcrAndroidOnnxCompose)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidOcrAndroidOnnxCompose?style=flat-square)|opencv onnxruntime ocr android demo, jetpack compose + kotlin|
|易语言|[RapidOCRServer](https://github.com/Physton/RapidOCRServer)|![GitHub Repo stars](https://img.shields.io/github/stars/Physton/RapidOCRServer?style=flat-square)|RapidOCR HTTP 服务。win32程序,易语言编写|

### 📄 智能文档

|🏗️Project|⭐️Stars|📝Description|
|:---|:---|:---|
|[RapidStructure](https://github.com/RapidAI/RapidStructure)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidStructure?style=flat-square)|文档结构化仓库,包括文档方向分类、版面分析和表格识别|
|[RapidLaTexOCR](https://github.com/RapidAI/RapidLaTeXOCR)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidLaTexOCR?style=flat-square)|公式识别:Formula recognition based on LaTeX-OCR and ONNXRuntime.|
|[RapidTable](https://github.com/RapidAI/RapidTable)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidTable?style=flat-square)|源自PP-Structure的表格识别算法,模型转换为ONNX,推理引擎采用ONNXRuntime,部署简单,无内存泄露问题。|
|[TableStructureRec](https://github.com/RapidAI/TableStructureRec)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/TableStructureRec?style=flat-square)|整理目前开源的最优表格识别模型,完善前后处理,模型转换为ONNX|
|[RapidLayout](https://github.com/RapidAI/RapidLayout)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidLayout?style=flat-square)|Analysis of Chinese and English layouts 中英文版面分析|
|[RapidOCRPDF](https://github.com/RapidAI/RapidOCRPDF)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidOCRPDF?style=flat-square)|PDF提取: Based on RapidOCR, extract the PDF content.|
|[ExtractOfficeContent](https://github.com/SWHL/ExtractOfficeContent)|![GitHub Repo stars](https://img.shields.io/github/stars/SWHL/ExtractOfficeContent?style=flat-square)|Office内容提取|

### 🎶 语音相关

|🏗️Project|⭐️Stars|📝Description|
|:---|:---|:---|
|[RapidASR](https://github.com/RapidAI/RapidASR)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidASR?style=flat-square)|商用级开源语音自动识别程序库,开箱即用,全平台支持,中英文混合识别。A Cross-platform implementation of ASR inference. It's based on ONNXRuntime and FunASR. We provide a set of easier APIs to call ASR models.|
|[RapidTTS](https://github.com/RapidAI/RapidTTS)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidTTS?style=flat-square)|A cross platform implementation of Text-to-Speech based on ONNXRuntime.|
|[RapidVoice](https://github.com/RapidAI/RapidVoice)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidVoice?style=flat-square)|The engineering implementation of SenseVoice (from Alibaba)|
|[RapidPunc](https://github.com/RapidAI/RapidPunc)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidPunc?style=flat-square)|A library for adding punctuation into a text from ASR.|
|[paraformer_simple](https://github.com/RapidAI/paraformer_simple)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/paraformer_simple?style=flat-square)|paraformer 语音识别模型的简化推理代码|
|[RapidAudioKit](https://github.com/RapidAI/RapidAudioKit)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidAudioKit?style=flat-square)|It's for the repository of audio resampling tools|
|[RapidVAD](https://github.com/RapidAI/RapidVAD)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidVAD?style=flat-square)|A library for splitting audio for ASR.|
|[RapidTP-Aligns](https://github.com/RapidAI/RapidTP-Aligns)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/RapidTP-Aligns?style=flat-square)|语音的时间戳预测|

### 👷‍♂️🛠️ Builder

|🏗️Project|⭐️Stars|📝Description|
|:---|:---|:---|
|[OnnxruntimeBuilder](https://github.com/RapidAI/OnnxruntimeBuilder)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/OnnxruntimeBuilder?style=flat-square)|Onnxruntime Builder|
|[OpenCVBuilder](https://github.com/RapidAI/OpenCVBuilder)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/OpenCVBuilder?style=flat-square)|OpenCV Custom Builder|

### 🔄 转换工具

|🏗️Project|⭐️Stars|📝Description|
|:---|:---|:---|
|[PaddleOCRModelConvert](https://github.com/RapidAI/PaddleOCRModelConvert)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/PaddleOCRModelConvert?style=flat-square)|PaddleOCR模型转换工具|
|[LabelConvert](https://github.com/RapidAI/LabelConvert)|![GitHub Repo stars](https://img.shields.io/github/stars/RapidAi/LabelConvert?style=flat-square)|目标检测数据集格式转换|

### 🏷 评测工具

|🏗️Project|⭐️Stars|📝Description|
|:---|:---|:---|
|[TextDetMetric](https://github.com/SWHL/TextDetMetric)|![GitHub Repo stars](https://img.shields.io/github/stars/SWHL/TextDetMetric?style=flat-square)|计算文本检测算法评测指标|
|[TableRecognitionMetric](https://github.com/SWHL/TableRecognitionMetric)|![GitHub Repo stars](https://img.shields.io/github/stars/SWHL/TableRecognitionMetric?style=flat-square)|计算表格识别算法评测指标|

### 📱 场景应用

|🏗️Project|⭐️Stars|📝Description|
|:---|:---|:---|
|[RapidVideOCR](https://github.com/SWHL/RapidVideOCR)|![GitHub Repo stars](https://img.shields.io/github/stars/SWHL/RapidVideOCR?style=flat-square)|视频硬字幕提取工具|

### 🔢 测评集

|🏗️Project|📝Description|
|:---|:---|
|[text_det_test_dataset](https://huggingface.co/datasets/SWHL/text_det_test_dataset)|文本测试集|
|[text_rec_test_dataset](https://huggingface.co/datasets/SWHL/text_rec_test_dataset)|文本识别测试集|
|[table_rec_test_dataset](https://huggingface.co/datasets/SWHL/table_rec_test_dataset)|表格识别测试集|

<a href="https://github.com/orgs/RapidAI/repositories"><img alt="All Repositories" title="All Repositories" src="https://custom-icon-badges.demolab.com/badge/-Click%20Here%20For%20All%20Repos-1F222E?style=for-the-badge&logoColor=white&logo=repo"/></a>

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